This paper introduces a gestural perceptual-based approach to select objects, i.e., nodes and/or edges along paths. Based on known results from perception research, we propose a mo...
In this paper, we introduce a first-order probabilistic model that combines multiple cues to classify human activities from video data accurately and robustly. Our system works in...
This paper discusses a computer vision based approach for enhancing a physical environment with machine perception. Using techniques for assessing the distance and orientation of a...
: Video Streams of optical camera system are analysed by a video processing software which detects moving objects in the video. They are presented in image pixel coordinates. With ...
Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detect...