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oe1(光电查) - 科学论文

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  • [IEEE 2018 28th International Conference on Field Programmable Logic and Applications (FPL) - Dublin, Ireland (2018.8.27-2018.8.31)] 2018 28th International Conference on Field Programmable Logic and Applications (FPL) - ADAS and Video Surveillance Analytics System Using Deep Learning Algorithms on FPGA

    摘要: Deep learning algorithms, such as CNN (Convolutional Neural Network), could provide high accuracy for great number of applications including ADAS (Advanced Driver Assistance System) and video surveillance analytics. Considering processing speed and energy efficiency, FPGA is a good hardware to construct customized CNN solution. In this demo session, we want to benefit from hardware technology, and show a fast speed and accurate video analytics system using state-of-the-art deep learning algorithms running on low power FPGA. This system could process 16 channels of continuous input video with the resolution of 1080p. Two functionalities could be easily switched by just clicking a button in this live demo: one ADAS system for vehicle, non-motorized vehicle, and pedestrian detection, tracking, and attributes analytics; and the other video surveillance system for face detection and recognition. The deep learning algorithms used are SSD and densebox for two kinds of objects’ detection, which have state-of-the-art accuracy. The FPGA used is Xilinx MPSoC ZU9, and the whole board including this FPGA only cost about 50 Watts with Peak performance at 5.6 TOPS.

    关键词: video surveillance,deep learning,FPGA,ADAS

    更新于2025-09-09 09:28:46

  • Iterative Reweighted Tikhonov-regularized Multihypothesis Prediction Scheme for Distributed Compressive Video Sensing

    摘要: Distributed compressive video sensing (DCVS) has great potential for signal acquisition and processing in source-limited communication, e.g., wireless video sensors network (WVSN), because it shifts complicated motion estimation and motion compensation from the encoder to the decoder. Known as a state-of-the-art technique in DCVS, multihypothesis (MH) prediction is widely used because of its acceptable performance and low computational complexity. However, this technique is restricted by inaccurate regularizations, which can cause susceptibility to inaccurate hypotheses. In this paper, we present an iterative reweighted Tikhonov-regularized scheme for MH prediction reconstruction. Specifically, to enhance robustness, this scheme proposes a reweighted Tikhonov regularization (MH-RTIK) that synthetically considers three factors that affect MH prediction performance—accuracy of the hypothesis set, number of hypotheses, and accuracy of regularizations—by utilizing the influence of each hypothesis. Furthermore, to avoid over-iteration in iterative MH prediction reconstruction, we propose a Bhattacharyya coefficient-based stopping criterion for use in the recovery of non-key frames, in which we exploit the similarity to an adjacent key frame rather than a previous iteration result. The simulation results show that the proposed scheme outperforms the state-of-the-art MH methods in terms of robustness to inaccurate hypotheses when there are a limited number of hypotheses.

    关键词: Distributed compressive video sensing (DCVS),video reconstruction,wireless video sensors network (WVSN),multihypothesis (MH) prediction

    更新于2025-09-04 15:30:14

  • [IEEE 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) - Aristi Village, Zagorochoria, Greece (2018.6.10-2018.6.12)] 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) - Video Deconfounding: Hearing-Aid Inspired Video Enhancement

    摘要: We introduce a set of techniques for selective amplification of video subjects that are largely hidden from view by confounding light paths, such as daylight reflections from tinted automobile windows, reflections from windows and screens when imaging outdoor scenes at night from indoors, and reflected light from fluid surfaces. In these situations, the subject of interest is represented by only a small fraction of the light being captured at each pixel. We show that enhancement approaches commonly employed for selective amplification of speech in audio applications can serve as the basis for selective amplification of hidden objects in video streams.

    关键词: Video Deconfounding,audio spectral subtraction,confounding light paths,selective amplification,video enhancement

    更新于2025-09-04 15:30:14

  • [IEEE 2018 25th IEEE International Conference on Image Processing (ICIP) - Athens, Greece (2018.10.7-2018.10.10)] 2018 25th IEEE International Conference on Image Processing (ICIP) - Drone HDR Infrared Video Coding via Aerial Map Prediction

    摘要: In this paper, we present a novel drone high dynamic range infrared video coding algorithm based on aerial map prediction. First, at the encoder side we accumulate input frames in a buffer and use them to build an aerial map. Then we apply global motion estimation to extract the most similar frame from the aerial map and use it as an extra reference frame in the list of reference frames of H.265/HEVC video coding standard. The map is compressed by H.265/HEVC Intra and included into the overall bitstream. The global motion estimation may reflect the camera rotation which is typical for UAV video sequences. As a result, the overall coding performance is improved. Experimental results show that for a test video with camera rotation the proposed algorithm provides 3–35% bitrate savings comparing to the H.265/HEVC.

    关键词: drone video coding,infrared video,HDR

    更新于2025-09-04 15:30:14

  • Optimization of CMOS Image Sensor Utilizing Variable Temporal Multi-Sampling Partial Transfer Technique to Achieve Full-frame High Dynamic Range with Superior Low Light and Stop Motion Capability

    摘要: Differential Binary Pixel Technology is a threshold-based timing, readout and image reconstruction method that utilizes sub-frame partial charge transfer technique in a standard four-transistor (4T) pixel CMOS Image sensor (CIS) to achieve HDR video with Stop Motion. This technology improves low light signal-to-noise ratio (SNR) by up to 21dB. The method is verified in silicon using a TSMC 65nm 1.1μm pixel technology 1 megapixel (MP) test chip array and is compared with a traditional 4× oversampling technique using full charge transfer. The test chip is also compared with the iPhone 6s rear view camera to show superior HDR video capability.

    关键词: HDR video,iPhone 6s,Differential Binary Pixel Technology,SNR,CMOS Image sensor,Stop Motion,TSMC 65nm

    更新于2025-09-04 15:30:14

  • Electrochromic effect of indium tin oxide in lithium iron phosphate battery cathodes for state of charge determination

    摘要: In this paper, we discuss the origin of an optical effect in lithium iron phosphate (LFP) battery cathodes, which depends on the electrical charge transferred into the battery. Utilizing indium tin oxide (ITO) as an electrode additive, we were able to observe a change in reflectivity of the cathode during charging and discharging with lithiation and delithiation being clearly visible in the form of lithiation fronts. Further investigations using in situ video microscopy and in situ Raman spectroscopy on test cells with an optical window indicates that ITO additionally acts as an electrochromic marker within the LFP cathode. This enhances the optical effect due to local potentials around the lithiation fronts, which enables the voltage-dependent reflectivity of the ITO to be visible in the LFP cathode. Structural analysis with scanning electron microscopy (SEM) and X-ray crystallography (XRD) are presented as well. The observed effect allows for novel battery research methods and for a possible commercial application as a sensor for state of charge (SOC) estimation similar to the optical fiber approach reported by Ghannoum et al. for a graphite anode.

    关键词: lithium ion batteries,battery state determination,lithium iron phosphate,raman spectroscopy,indium tin oxide,electrochromic marker,video microscopy,state of charge

    更新于2025-09-04 15:30:14

  • Forensic Discrimination Potential of Video Spectral Comparator and Micro Spectrophotometer in Analyzing Question Document and Fraud Cases in India

    摘要: The aim of the study was to evaluate the discriminating power of non-destructive methods, including optical methods likes the Video spectral comparator method (VSC) and Micro spectrophotometer (MSP) used to differentiate ballpoint pen ink which is commonly used in question document and fraud cases in India. Documents have been investigated to determine the feasibility of utilizing the Video spectral comparator method (VSC) and Micro spectrophotometer (MSP) for the differentiation and comparison of inks on paper. The work focused on how to develop the most effective procedure to ensure quality, when Micro spectrophotometer is used to differentiate writing materials by characteristics color scan of each ink. Six different commercially available blue ballpoint pen inks produced from most popular pens in Indian Market which were used as research material. We have studied most selling pens in Indian market (Reynolds, Parker, and Lexis 2 types, Cello griper and local made pen) for overwriting, alternation and modification of ballpoint pen ink on documents. These pens are generally used on questioned document in forensic discrimination cases and these questioned documents cases received by forensic science laboratories regularly. In forensic discrimination cases generally initial writing is overwritten by using other ink and to identify which ink was used to overwrite is challenging task in field of forensic science. The present study highlighted that the Video Spectral Comparator method (VSC) and Micro spectrophotometer (MSP) can be used routinely in such types of document cases and it has demonstrated to be an excellent analytical method for the forensic analysis of inks on a questioned document.

    关键词: Overwriting of inks,Question document,Video spectral comparator,Micro spectrophotometer

    更新于2025-09-04 15:30:14

  • Indocyanine green‐enhanced fluorescence‐guided video‐assisted axillary surgery for chronic lymphocele

    摘要: Introduction: Lymphocele occurs frequently after regional lymph node dissection. Surgery with multiple lymphatic ligation represents the only reliable treatment for long-standing chronic lymphocele. Materials and Surgical Technique: We report the case of a man with chronic axillary seroma after axillary lymphadenectomy for melanoma. The lymphocele was unresponsive to conservative management and successfully treated with indocyanine green lymphography-guided video-assisted axillary surgery. Discussion: Indocyanine green-enhanced fluorescence video-assisted identification and ligation of lymph vessels can simply and effectively treat recurrent chronic lymphocele after axillary or groin lymphadenectomy.

    关键词: video-assisted surgery,lymphocele,Indocyanine green

    更新于2025-09-04 15:30:14

  • [Advances in Intelligent Systems and Computing] Image Processing and Communications Challenges 10 Volume 892 (10th International Conference, IP&C’2018 Bydgoszcz, Poland, November 2018, Proceedings) || Ten Years of Image Processing and Communications

    摘要: Image processing and communications have become emerging domains for researchers and societies all over the world. Both are widely implemented and become reality in everyday matters. In this article authors present an overview of the trends and reflect on aspects discussed during the Image Processing and Communications Conferences taking place in Bydgoszcz, Poland during last 10 years. The paper aims to reflect on this great event and its scientific contents.

    关键词: Cloud computing,Biometrics,Applications,Image quality,Video processing,Pattern recognition,Network,Image processing,Cyber security

    更新于2025-09-04 15:30:14

  • AIP Conference Proceedings [Author(s) SolarPACES 2017: International Conference on Concentrating Solar Power and Chemical Energy Systems - Santiago, Chile (26–29 September 2017)] - Threshold effect on particle tracking algorithms

    摘要: Automated particle tracking algorithms are widely used by soft matter physicists as a research tool to detect and construct the trajectories of micron-sized particles in ?uids. Analyzing these trajectories will uncover the physics of the investigated particles mainly on the type of motion they undergo making them suitable for potential applications. A plethora of methods has been proposed and used for detection and tracking. In this work, we examine the performance of two commonly used tracking algorithms in terms of threshold dependencies in digital video images. One of them is the centroid method (CM), a well-known and used algorithm and the other is radial symmetry method (RSM) which is recently proposed. Here, we generate the synthetic digital video images consisting of randomly placed multiple particles and compare the absolute errors on the particle detection by varying threshold values. Our results suggest that both algorithms show dependence on the threshold value and on comparison RSM algorithm performs better than the CM algorithm when the noise level is zero. Moreover, the measured absolute errors show a strong dependence on threshold values when noise levels are increased (up to 20) especially for the RSM algorithm.

    关键词: centroid method,radial symmetry method,particle tracking algorithms,threshold dependencies,digital video images

    更新于2025-09-04 15:30:14