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Journal Article
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X, 7/2013, Volume 8878, pp. 887826 - 887826-6
A new method for moving object segmentation based on human vision perception in infrared video is proposed. In this paper, we introduce a new region growing... 
Infrared Video | Human Vision | Image Segmentation | Spatial-Temporal Segmentation | Human | Seeds | Infrared | Segmentation | Thresholds | Vision | Perception | Masks
Conference Proceeding
Advanced Materials Research, ISSN 1022-6680, 02/2012, Volume 468-471, pp. 2057 - 2060
In the fields of transparent liquid impurity detection based on machine vision technology, how to detect and identify a variety of impurities effectively in... 
Fuzzy least squares support vector machines | Background suppression | Spatial-temporal correlation | Impurity detection
Journal Article
Biological Cybernetics, ISSN 0340-1200, 12/2013, Volume 107, Issue 6, pp. 589 - 635
A receptive field constitutes a region in the visual field where a visual cell or a visual operator responds to visual stimuli. This paper presents a theory... 
Primary visual cortex | Neurosciences | Receptive field | Scale space | Visual area V1 | Neurobiology | Simple cell | Scale covariance | Affine covariance | Statistical Physics, Dynamical Systems and Complexity | Double-opponent cell | Theoretical biology | Computer Appl. in Life Sciences | LGN | Biomedicine | Vision | Complex cell | Gaussian derivative | Illumination invariance | Functional model | Bioinformatics | Theoretical neuroscience | Galilean covariance | RECOGNITION | SPATIAL-TEMPORAL VISION | IMAGE DESCRIPTORS | STRIATE CORTEX | GAUSSIAN DERIVATIVE MODEL | ORIENTATION SELECTIVITY | CORTICAL SIMPLE | SCALE-SPACE | INVARIANT | NEUROSCIENCES | COMPUTER SCIENCE, CYBERNETICS | EDGE-DETECTION | Visual Fields - physiology | Visual Pathways - physiology | Models, Biological | Computer Simulation | Humans | Space Perception | Photic Stimulation | Visual Cortex - physiology | Studies | Complexity theory | Normal distribution | Vision systems | Prospects | Computer Vision and Robotics (Autonomous Systems) | Data- och informationsvetenskap | Medical and Health Sciences | Medicin och hälsovetenskap | Natural Sciences | Neurovetenskaper | Bioinformatics (Computational Biology) | Basic Medicine | Bioinformatik (beräkningsbiologi) | Datorseende och robotik (autonoma system) | Computer and Information Sciences | Naturvetenskap | Medicinska och farmaceutiska grundvetenskaper
Journal Article
Optical Review, ISSN 1340-6000, 1/2014, Volume 21, Issue 1, pp. 27 - 34
In this paper, a new region growing method to achieve the accurate and complete segmentation of the moving objects is introduced. Firstly, the ideal seeds of... 
Physics, general | image segmentation | human vision | Physics | infrared video | spatial-temporal segmentation | TARGET | IMAGERY | FUSION | ALGORITHM | OPTICS | Electrical engineering | Image processing | Analysis | Methods
Journal Article
Signal Processing: Image Communication, ISSN 0923-5965, 09/2016, Volume 47, pp. 358 - 368
Abnormal behavior detection in crowded scenes is extremely challenging in the field of computer vision due to severe inter-object occlusions, varying crowd... 
Spatial–temporal CNN | Crowded scene | Surveillance | Anomaly detection | Spatial-temporal CNN | EVENT DETECTION | MOTION | MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC | Machine vision | Neural networks | Analysis
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 09/2019, Volume 29, Issue 9, pp. 2683 - 2692
Nowadays content-based video event detection faces great challenges due to complex scenes and blurred actions in surveillance videos. To alleviate these... 
Computer vision | Image motion analysis | Event detection | Fuses | deep feature | Trajectory-pooled | Computer architecture | Feature extraction | spatial-temporal | Trajectory | triple-channel | convolutional neural networks | trajectory-pooled | Convolutional Neural Networks
Journal Article
Signal Processing, ISSN 0165-1684, 04/2018, Volume 145, pp. 137 - 145
Action recognition in videos, which contains many complex and semantic contents, is still a challenging task in computer vision research. In this paper, we... 
Action recognition | Attention mechanism | Spatial-temporal relations | LSTM | SALIENCY DETECTION | VISUAL-ATTENTION | IMAGE | VIDEO | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer science | Machine vision | Analysis
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 02/2019, Volume 28, Issue 2, pp. 699 - 712
In this paper, we address the problem of video rain removal by considering rain occlusion regions, i.e., very low light transmittance for rain streaks.... 
Computer vision | Rain | recurrent neural network | Motion segmentation | Dynamics | spatial temporal residue | Routing | Feature extraction | Video rain removal | dynamic routing | Context modeling | IMAGE | INFORMATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Occlusion | Light transmittance | Segmentation | Pixels
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2016, Volume 173, pp. 110 - 117
Local spatial–temporal feature-based representation is extremely popular for human action recognition. Many spatial–temporal salient point detectors and... 
Cross-domain learning | Human action recognition | Spatial–temporal feature | Spatial-temporal feature | FEATURE-SELECTION | REGRESSION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Machine vision | Analysis
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 03/2019, Volume 28, Issue 3, pp. 1366 - 1377
Journal Article
Journal Article
Computers and Chemical Engineering, ISSN 0098-1354, 09/2019, Volume 128, pp. 301 - 311
Journal Article
Journal Article
The Visual Computer, ISSN 0178-2789, 6/2019, Volume 35, Issue 6, pp. 973 - 984
Retrieval of a specific human motion from 3D skeleton data is intractable because of its articulated complexity. We propose a context-based motion document... 
Computer Graphics | Skeleton-based motion retrieval | Latent Dirichlet allocation | Spatial–temporal descriptors | Artificial Intelligence | Computer Science | Image Processing and Computer Vision | Motion documents | Computer Science, general
Journal Article
IEEE Transactions on Intelligent Transportation Systems, ISSN 1524-9050, 02/2019, Volume 20, Issue 2, pp. 522 - 533
Journal Article