Real Time Backpack Detection in Visual Surveillance based on Verticals Contour Analysis
説明
In this paper, we aim to propose a method to detect backpacks and sling bags which pedestrians are carrying in visual surveillance. A real time video analysis and processing on passive recording provided from surveillance camera could give more valuable information for a variety of applications. We detect backpacks without protrusion supposition or any training data. We propose an algorithm to find expectable vertical lines inside or near a human body contours using some fuzzy rules. To improve detection accuracy, area of carried object is compared with next several frames. It influences our detection result greatly. As a result, we detect carried objects including backpack and sling bag successfully. We run several experiments with previously designed VIRAT ground video dataset and result shows that our method is promising.
収録刊行物
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- Proceedings of The 6th IIAE International Conference on Industrial Application Engineering 2018
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Proceedings of The 6th IIAE International Conference on Industrial Application Engineering 2018 107-110, 2018-01-01
The Institute of Industrial Application Engineers
