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Tracking of multiple objects based on the histogram of oriented gradients for pedestrian detection
| Content Provider | Semantic Scholar |
|---|---|
| Author | Dakhlia, Amari |
| Copyright Year | 2017 |
| Abstract | Thiswork presents our detection system and tracking pedestrian-based tracklets in a complex scene. The first task of our system is the detection of pedestrians using the HOG detector, this system is able to recognize all the pedestrians present in the scene. The second task is the tracking of all detected pedestrians to get complete trajectories for a long time while preserving the identity of each pedestrian, for this we used the notion of tracklets. The experiments show that our approach outperforms the detector to find the undetected objects and the developed method eliminates the false positives and shows the effectiveness of tracking. Keywords— Multi-objects tracking, Tracklets, HOG, Occlusion. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.acit2k.org/ACIT/images/stories/year2014/month1/ACIT2017_Proceeding/211.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
