Feature extraction from faces using deformable templates
International Journal of Computer Vision
An anthropometric face model using variational techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic 3-D Scene Analysis Through Synthesis Feedback Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Tracking and Object Classification for Automated Surveillance
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Candid Covariance-Free Incremental Principal Component Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
KNIGHT/spl trade/: a real time surveillance system for multiple and non-overlapping cameras
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Occlusion-adaptive, content-based mesh design and forward tracking
IEEE Transactions on Image Processing
Lossy to lossless object-based coding of 3-D MRI data
IEEE Transactions on Image Processing
Ligne-claire video encoding for power constrained mobile environments
Proceedings of the 15th international conference on Multimedia
Hybrid layered video encoding and caching for resource constrained environments
Journal of Visual Communication and Image Representation
Video Compression and Retrieval of Moving Object Location Applied to Surveillance
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Video frames reconstruction based on time-frequency analysis and Hermite projection method
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Video quality for face detection, recognition, and tracking
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
An approach to the compression of residual data with GPCA in video coding
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Hybrid layered video encoding for mobile internet-based computer vision and multimedia applications
Mobile Multimedia Processing
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This paper presents a novel object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require explicit 2D or 3D models of objects and hence is general enough to cater for varying types of objects in the scene. The proposed system detects and tracks objects in the scene and learns the appearance model of each object online using incremental principal component analysis (IPCA). Each object is then coded using the coefficients of the most significant principal components of its learned appearance space. Due to smooth transitions between limited number of poses of an object, usually a limited number of significant principal components contribute to most of the variance in the object's appearance space and therefore only a small number of coefficients are required to code the object. The rigid component of the object's motion is coded in terms of its affine parameters. The framework is applied to compressing videos in surveillance and video phone domains. The proposed method is evaluated on videos containing a variety of scenarios such as multiple objects undergoing occlusion, splitting, merging, entering and exiting, as well as a changing background. Results on standard MPEG-7 videos are also presented. For all the videos, the proposed method displays higher Peak Signal to Noise Ratio (PSNR) compared to MPEG-2 and MPEG-4 methods, and provides comparable or better compression.