Real-Time Human Posture Reconstruction in Wireless Smart Camera Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Machine Vision and Applications
Texture Dissimilarity Measures for Background Change Detection
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Robust foreground segmentation based on two effective background models
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
A spatially distributed model for foreground segmentation
Image and Vision Computing
An efficient cast shadow removal for motion segmentation
ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
Review: The use of pervasive sensing for behaviour profiling - a survey
Pervasive and Mobile Computing
Virtual Boundary Crossing Detection without Explicit Object Tracking
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Multimodal Abandoned/Removed Object Detection for Low Power Video Surveillance Systems
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Efficient background subtraction and shadow removal for monochromatic video sequences
IEEE Transactions on Multimedia - Special section on communities and media computing
Shadows Removal by Edges Matching
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Edge-Based Algorithm for Shadows and Ghosts Removing
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Multi-media compliance: a practical paradigm for managing business integrity
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Illumination invariant foreground detection using multi-subspace learning
International Journal of Knowledge-based and Intelligent Engineering Systems
Human silhouette extraction method using region based background subtraction
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Improved background mixture models for video surveillance applications
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Human motion recognition using Isomap and dynamic time warping
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Real-time video surveillance based on combining foreground extraction and human detection
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Detecting and recognizing abandoned objects in crowded environments
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Multl-resolution background subtraction for dynamic scenes
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Detection of user-defined, semantically high-level, composite events, and retrieval of event queries
Multimedia Tools and Applications
On implementing motion-based Region of Interest detection on multi-core CELL
Computer Vision and Image Understanding
Adaptive learning of multi-subspace for foreground detection under illumination changes
Computer Vision and Image Understanding
Local histogram of figure/ground segmentations for dynamic background subtraction
EURASIP Journal on Advances in Signal Processing
Robust sequence alignment for actor-object interaction recognition: Discovering actor-object states
Computer Vision and Image Understanding
Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking
International Journal of Computer Vision
Geolocation of Multiple Targets from Airborne Video Without Terrain Data
Journal of Intelligent and Robotic Systems
A video surveillance method based on information granularity
EE'07 Proceedings of the 2nd IASME/WSEAS international conference on Energy and environment
Attribute-based vehicle search in crowded surveillance videos
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Interactive motion analysis for video surveillance and long term scene monitoring
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Learning from mistakes: object movement classification by the boosted features
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Long term carefully learning for person detection application to intelligent surveillance system
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Shadow detection: A survey and comparative evaluation of recent methods
Pattern Recognition
Accurate foreground extraction using graph cut with trimap estimation
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Effective distributed service architecture for ubiquitous video surveillance
Information Systems Frontiers
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
A unified approach to background adaptation and initialization in public scenes
Pattern Recognition
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We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. The background is modeled by three Gaussian mixtures as in the work of Stauffer and Grimson [11]. Then the intensity and texture information are integrated to remove shadows and to enable the algorithm working for quick lighting changes. For foreground analysis, the same Gaussian mixture model is employed to detect the static foreground regions without using any tracking or motion information. Then the whole static regions are pushed back to the background model to avoid a common problem in background subtraction 驴 fragmentation (one object becomes multiple parts). The method was tested on our real time video surveillance system. It is robust and run about 130 fps for color images and 150 fps for grayscale images at size 160x120 on a 2GB Pentium IV machine with MMX optimization.