Real Time Backpack Detection in Visual Surveillance based on Verticals Contour Analysis
Ulziisaikhan Lkhagvasuren, Stephen Karungaru, Kenji Terada · 2018
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.