A New Inference Method For Camera's Ego-Motion And People's Paths Surrounded By A Single Logical Framework Using Hog Descriptor |
Author(s): |
| S. Jacinth Beulah , FRANCIS XAVIER ENGINEERING COLLEGE; N. Umamaheswari, FRANCIS XAVIER ENGINEERING COLLEGE; P. Jenifer, FRANCIS XAVIER ENGINEERING COLLEGE; J. Doulas, FRANCIS XAVIER ENGINEERING COLLEGE |
Keywords: |
| HOG, adaptive tracking, cascade object detector |
Abstract |
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In the recent world, person tracking is very important for many applications such as surveillance, identification of personals etc. To improve the odds of finding people, this system combines multiple different detection and tracking methods. Combine the advantages of both detection and tracking in a single framework. This tracking framework applies to the task of tracking numerous people from a affecting camera. In person detection, the cascade object detector uses the Viola-Jones algorithm to detect people's faces, noses, eyes, mouth, or upper body and so on. After these detection steps are over, then it will track multiple people using a adaptive tracking algorithm based on different detectors. Here HOG algorithm is used to increase the detection rate and also improves the efficiency of tracking by increasing the detection rate. |
Other Details |
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Paper ID: IJSRDV3I1643 Published in: Volume : 3, Issue : 1 Publication Date: 01/04/2015 Page(s): 1367-1372 |
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