Multi-view gait-based human identification with automatic joint detection
This research work proposes a joint detection approach to detect locations of body joint automatically by applying a priori knowledge of body proportion. The joint detection approach does not attempt to detect each lower limb of a human, so it can detect the body joints even from self-occluded silho...
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| 格式: | Thesis |
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2014
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| 总结: | This research work proposes a joint detection approach to detect locations of body joint automatically by applying a priori knowledge of body proportion. The joint detection approach does not attempt to detect each lower limb of a human, so it can detect the body joints even from self-occluded silhouettes or those occluded by apparel (long blouses or baggy trousers) or bags (handbag or rucksack). In this research work, an improved perspective correction technique to normalize oblique-view walking sequences to side-view plane has been developed. The silhouettes from oblique-view walking sequences are vertical and horizontal adjusted to fit the sideview. |
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