Advanced motion detection for intelligent video surveillance systems
Proceedings of the 2010 ACM Symposium on Applied Computing
A single-view based framework for robust estimation of height and position of moving people
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Survey on contemporary remote surveillance systems for public safety
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Human gait recognition using extraction and fusion of global motion features
Multimedia Tools and Applications
Image contrast enhancement for preserving mean brightness without losing image features
Engineering Applications of Artificial Intelligence
Localizing people in multi-view environment using height map reconstruction in real-time
Pattern Recognition Letters
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This paper presents a robust walk-detection algorithm, based on our symmetry approach which can be used to extract gait characteristics from video-image sequences. To obtain a useful descriptor of a walking person, we temporally track the symmetries of a person's legs. Our method is suitable for use in indoor or outdoor surveillance scenes. Determining the leading leg of the walking subject is important, and the presented method can identify this from two successive walk steps (one walk cycle). We tested the accuracy of the presented walk-detection method in a possible application: Image registration methods are presented which are applicable to multicamera systems viewing human subjects in motion