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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Han Su Wenjie Wang |
| Copyright Year | 2015 |
| Description | Author affiliation: Key Lab. of Virtual Reality & Visual Comput. of Sichuan, Sichuan Normal Univ., Chengdu, China (Han Su) || Coll. of Comput. Sci., Sichuan Normal Univ., Chengdu, China (Wenjie Wang) |
| Abstract | In this paper, we present a novel carried object detection method based on the key postures which is extracted through locating the key point on the gait cycle curve. The key postures which are conducive to detect the carried object are the silhouettes in sequence. Different carried type is corresponding to the different key postures. For each key posture, the deviation between the reference axis and the center line and the variance of the lower-limb width are adopted to represent features. We test our method on two databases. The results show that the method based on key postures can not only reduce the computation, but also represent features very accurately, and our method is effective. |
| Starting Page | 610 |
| Ending Page | 614 |
| File Size | 718684 |
| Page Count | 5 |
| File Format | |
| ISSN | 21579563 |
| e-ISBN | 9781467376792 |
| DOI | 10.1109/ICNC.2015.7378059 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Legged locomotion Solid modeling Shape Object detection Virtual reality silhouette Feature extraction carried object detection key posture Foot |
| Content Type | Text |
| Resource Type | Article |
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