Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Markov random field modeling in computer vision
Markov random field modeling in computer vision
On the accuracy of binned kernel density estimators
Journal of Multivariate Analysis
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian Computer Vision System for Modeling Human Interactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multivariate locally adaptive density estimation
Computational Statistics & Data Analysis
A Framework for High-Level Feedback to Adaptive, Per-Pixel, Mixture-of-Gaussian Background Models
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Motion detection with nonstationary background
Machine Vision and Applications
A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Appearence Sphere: Background Model for Pan-Tilt-Zoom Camera
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
On-Line Selection of Discriminative Tracking Features
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Background Modeling and Subtraction of Dynamic Scenes
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion-based background subtraction using adaptive kernel density estimation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Probabilistic tracking in joint feature-spatial spaces
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Image segmentation in video sequences: a probabilistic approach
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Motion-based background modeling for foreground segmentation
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Person and Vehicle Tracking in Surveillance Video
Multimodal Technologies for Perception of Humans
Motion Detection with Background Clutter Suppression Based on KDE Model
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Detection and segmentation of moving objects in complex scenes
Computer Vision and Image Understanding
A spatially distributed model for foreground segmentation
Image and Vision Computing
IEEE Transactions on Circuits and Systems for Video Technology
Region-level motion-based foreground segmentation under a Bayesian network
IEEE Transactions on Circuits and Systems for Video Technology
Codebook-Based Background Subtraction to Generate Photorealistic Avatars in a Walkthrough Simulator
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Multiscale background modelling and segmentation
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Video condensation by ribbon carving
IEEE Transactions on Image Processing
Target positioning with dominant feature elements
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Tracking of vehicle trajectory by combining a camera and a laser rangefinder
Machine Vision and Applications
A Bayesian network for foreground segmentation in region level
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Joint domain-range modeling of dynamic scenes with adaptive kernel bandwidth
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Multl-resolution background subtraction for dynamic scenes
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Neighboring image patches embedding for background modeling
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Vs-star: A visual interpretation system for visual surveillance
Pattern Recognition Letters
Multi-object detection and tracking by stereo vision
Pattern Recognition
Joint random field model for all-weather moving vehicle detection
IEEE Transactions on Image Processing
Adaptive learning of multi-subspace for foreground detection under illumination changes
Computer Vision and Image Understanding
Segmenting salient objects from images and videos
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Optimum subspace learning and error correction for tensors
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Local histogram of figure/ground segmentations for dynamic background subtraction
EURASIP Journal on Advances in Signal Processing
Background subtraction for automated multisensor surveillance: a comprehensive review
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Modeling complex scenes for accurate moving objects segmentation
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
International Journal of Computer Vision
A temporal-spatial background modeling of dynamic scenes
Frontiers of Computer Science in China
Error decreasing of background subtraction process by modeling the foreground
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Adaptive model for object detection in noisy and fast-varying environment
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
An object tracking scheme based on local density
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Robust moving object detection against fast illumination change
Computer Vision and Image Understanding
Gaussian mixture model in improved HLS color space for human silhouette extraction
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Local spatial co-occurrence for background subtraction via adaptive binned kernel estimation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Object detection with multiple motion models
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
A framework for realistic vehicular network modeling using planet-scale public webcams
Proceedings of the 4th ACM international workshop on Hot topics in planet-scale measurement
Pattern Recognition Letters
A novel approach to rail crossing protection using computer vision and radio communications
Machine Graphics & Vision International Journal
Spatially correlated background subtraction, based on adaptive background maintenance
Journal of Visual Communication and Image Representation
Foreground detection by robust PCA solved via a linearized alternating direction method
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Investigation on tracking system for real time video surveillance applications
Proceedings of the CUBE International Information Technology Conference
Foreground objects segmentation for moving camera scenarios based on SCGMM
MUSCLE'11 Proceedings of the 2011 international conference on Computational Intelligence for Multimedia Understanding
Background subtraction with dirichlet processes
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Moving foreground object detection via robust SIFT trajectories
Journal of Visual Communication and Image Representation
Efficient background subtraction under abrupt illumination variations
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Spatiotemporal salience via centre-surround comparison of visual spacetime orientations
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Background subtraction based on multi-channel SILTP
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Spin image revisited: fast candidate selection using outlier forest search
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Data-driven study of urban infrastructure to enable city-wide ubiquitous computing
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Image and Vision Computing
Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science
Background subtraction using hybrid feature coding in the bag-of-features framework
Pattern Recognition Letters
Background foreground segmentation with RGB-D Kinect data: An efficient combination of classifiers
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation
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Accurate detection of moving objects is an important precursor to stable tracking or recognition. In this paper, we present an object detection scheme that has three innovations over existing approaches. First, the model of the intensities of image pixels as independent random variables is challenged and it is asserted that useful correlation exists in intensities of spatially proximal pixels. This correlation is exploited to sustain high levels of detection accuracy in the presence of dynamic backgrounds. By using a nonparametric density estimation method over a joint domain-range representation of image pixels, multimodal spatial uncertainties and complex dependencies between the domain (location) and range (color) are directly modeled. We propose a model of the background as a single probability density. Second, temporal persistence is proposed as a detection criterion. Unlike previous approaches to object detection which detect objects by building adaptive models of the background, the foreground is modeled to augment the detection of objects (without explicit tracking) since objects detected in the preceding frame contain substantial evidence for detection in the current frame. Finally, the background and foreground models are used competitively in a MAP-MRF decision framework, stressing spatial context as a condition of detecting interesting objects and the posterior function is maximized efficiently by finding the minimum cut of a capacitated graph. Experimental validation of the proposed method is performed and presented on a diverse set of dynamic scenes.