Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
The De Casteljau Algorithm on Lie Groups and Spheres
Journal of Dynamical and Control Systems
Automatic gait recognition by symmetry analysis
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new motion detection algorithm based on Σ-Δ background estimation
Pattern Recognition Letters
Activity recognition in the home using a hierarchal framework with object usage data
Journal of Ambient Intelligence and Smart Environments
Airborne video registration and traffic-flow parameter estimation
IEEE Transactions on Intelligent Transportation Systems
Moving-Object Detection, Association, and Selection in Home Videos
IEEE Transactions on Multimedia
Video Streaming for Mobile Video Surveillance
IEEE Transactions on Multimedia
A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video
IEEE Transactions on Multimedia
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
IEEE Transactions on Image Processing
Analysis and Compensation of Rolling Shutter Effect
IEEE Transactions on Image Processing
Spatial and temporal error concealment algorithms of shape information for MPEG-4 video
IEEE Transactions on Circuits and Systems for Video Technology
Modeling Background and Segmenting Moving Objects from Compressed Video
IEEE Transactions on Circuits and Systems for Video Technology
Engineering Applications of Artificial Intelligence
Investigation on tracking system for real time video surveillance applications
Proceedings of the CUBE International Information Technology Conference
Genetic programming based blind image deconvolution for surveillancesystems
Engineering Applications of Artificial Intelligence
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This paper proposes a pyramidal background matching structure for motion detection. The proposed method utilizes spectral, spatial, and temporal features to generate a pyramidal structure of the background model. After performing the background subtraction based on the proposed background model, the moving targets can be accurately detected at each frame of the video sequence. In order to produce high accuracy for the motion detection, the proposed method also further includes a noise filter based on Bezier curve to smooth noise pixels, after which the binary motion mask can be computed by the proposed threshold function. Experimental results demonstrate that the proposed method substantially outperforms existing methods by perceptional evaluation.