Real-time manipulation of texture-mapped surfaces
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Multiperspective panoramas for cel animation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Multi-perspective images for visualisation
VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11
IEEE Computer Graphics and Applications
Real-time and accurate segmentation of moving objects in dynamic scene
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Real-Time Multiple Tracking Using a Combined Technique
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
IEEE Computer Graphics and Applications
Fast occluded object tracking by a robust appearance filter
IEEE Transactions on Pattern Analysis and Machine Intelligence
A generic approach to simultaneous tracking and verification in video
IEEE Transactions on Image Processing
Fast incorporation of optical flow into active polygons
IEEE Transactions on Image Processing
Support for effective use of multiple video streams in security
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Effects of presenting geographic context on tracking activity between cameras
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
DOTS: support for effective video surveillance
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Minimizing Video Data Using Looping Background Detection Technique
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
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In this paper, we aim at providing a means for efficient display of surveillance video. In video surveillance, usually, there are certain regions of interest (ROIs), such as entrance or exit, and moving objects or persons, which should be paid more attention. By tracking and locally zooming the ROI, the proposed method adds salience on it to help surveillant to locate such important region effectively. Here, salience means highlighting special region locally. Given an input video signal, the ROI is detected first. The original video frame is mapped as a texture on a deformed mesh to produce the zoom effect. The position and shape of the ROI determine the mesh deformation. By experiment, we show that the proposed method is effective and efficient.