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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Raghavendra, R. Bian Yang Busch, C. |
| Copyright Year | 2013 |
| Description | Author affiliation: Norwegian Biometric Lab., Gjovik Univ. Coll., Gjovik, Norway (Raghavendra, R.; Bian Yang; Busch, C.) |
| Abstract | On-the-fly person identification using face has been receiving more and more attention recently as it exhibits additional challenges that include uncontrolled poses, change in illumination and focus as compared to that of conventional face recognition. In this paper, we propose an efficient scheme that can be structured in two steps namely face detection and person identification to accurately address the challenges in “On-the-Fly” person identification. The proposed face detection scheme is based on the skin color region detection and a novel region based association scheme which is efficient and innovative in locating the evolving face in the video. We then, propose to carry out the person identification by employing Log-Gabor transform and Sparse Representation Classifier (SRC). Extensive experiments are carried out on the public available video surveillance `ChokePoint' dataset leading to the highest observed closed-set identification rate of 91% with efficient computational speed of 27 frames/minute on normal desktop. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 248174 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479916047 |
| DOI | 10.1109/ICMEW.2013.6618265 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biometrics Image segmentation Image color analysis Shape Face recognition Person identification Skin Face Face detection Video Surveillance Face recognition from Video |
| Content Type | Text |
| Resource Type | Article |
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