Although automatic identity inference based on faces has shown success when using high quality images, for CCTV based images it is hard to attain similar levels of performance. Fu...
Shaokang Chen, Erik Berglund, Abbas Bigdeli, Conra...
Detecting foreground object often need to face the problems of illumination change and image noise. In this paper, we propose an object detection method using two successive image...
Jung Ming Wang, Shen Cherng, Chiou-Shann Fuh, Sei-...
We introduce a distributed camera coalition formation scheme for perceptive scene coverage and persistent surveillance by smart camera sensor networks. The proposed model supports...
We propose a novel registration framework to map the field-of-coverage of pan-tilt cameras to a GIS (Geographic Information System) planar coordinate system. The camera’s fiel...
Camera handoff is a crucial step to generate a continuously tracked and consistently labeled trajectory of the object of interest in multi-camera surveillance systems. Most existi...
Chung-Hao Chen, Yi Yao, David L. Page, Besma Roui-...
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
In this paper, we propose a shadow removal algorithm for indoor scenes. This algorithm uses three types of constraints: chromaticity consistency, texture consistency and range of ...
In this paper a new approach for detecting unattended or stolen objects in surveillance video is proposed. It is based on the fusion of evidence provided by three simple detectors...
Tracking humans in an indoor environment is an essential part of surveillance systems. Vision based and microphone array based trackers have been extensively researched in the pas...
Shankar T. Shivappa, Mohan M. Trivedi, Bhaskar D. ...
This paper introduces a “design mixer” approach to usercentred interactive software design. This method overcomes the limits of a design process that favours the handling/mana...