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We present a new method for viewpoint independent gait biometrics. The system relies on a single camera, does not require camera calibration, and works with a wide range of camera views. This is achieved by a formulation where the gait is self-calibrating. These properties make the proposed method particularly suitable for identification by gait, where the(More)
Given the continuing advances in gait biometrics, it appears prudent to investigate the translation of these techniques for forensic use. We address the question as to the confidence that might be given between any two such measurements. We use the locations of ankle, knee, and hip to derive a measure of the match between walking subjects in image(More)
Many studies have confirmed that gait analysis can be used as a new bio-metrics. In this research, gait analysis is deployed for people identification in multi-camera surveillance scenarios. We present a new method for viewpoint independent markerless gait analysis that does not require camera calibration and works with a wide range of walking directions.(More)
Human motion analysis has received a great attention from researchers in the last decade due to its potential use in different applications. We propose a new approach to extract human joints (vertex positions) using a model-based method. Motion templates describing the motion of the joints as derived by gait analysis, are parametrized using the elliptic(More)
Many studies have shown that gait can be deployed as a biometric. Few of these have addressed the effects of viewpoint and co-variate factors on the recognition process. We describe the first analysis which combines viewpoint invariance for gait recognition which is based on a model-based pose estimation approach from a single un-calibrated camera. A set of(More)
In this paper, a computer vision system for automated visual surveillance in an unconstrained outdoor environment is described. We propose a method for tracking multiple moving objects based on shape-based feature correspondence between consecutive frames. We have explored a new approach for walking people detection and recognition based on their gait(More)
We describe how gait and ear biometrics could be deployed for use in forensic identification. Biometrics has advanced considerably in recent years, largely by increase in computational power. This has been accompanied by developments in, and proliferation of, surveillance technology. To prevent identification, subjects use evasion, disguise or concealment.(More)