A Survey of Automatic Tracking Using Graph Technique in Parking Slot for Multiple Human Tracking
- Ms.Dhanshree.P.Desai
- Prof.Jasmine Jha
Video Surveillance, Part Based Detection, Data Association, Crowd Density, Tracking
In Computer Vision, Visual Surveillance in dynamic scenes especially for Humans and Vehicles is currently one of the most active researches in this field. The main objective of this paper is to develop multiple human objects tracking approach based on motion estimation and appearance. The occlusion is one of the most common events in object tracking and object centroid for each object is used for detecting the occlusion and identifying each blob individually. Manual analysis of pedestrians and crowds is often impractical for massive datasets of surveillance videos. Automatic tracking of humans is one of the essential abilities for computerized analysis of such videos. For videos with low density, first we detect each person using a part-based human detector. Then, we employ a global data association method based on Generalized Graphs for tracking each individual in the whole video.
Ms.Dhanshree.P.Desai, Prof.Jasmine Jha. "A Survey of Automatic Tracking Using Graph Technique in Parking Slot for Multiple Human Tracking".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.659-661, URL :https://rjwave.org/ijedr/papers/IJEDR1502118.pdf
Volume 3 Issue 2
Pages. 659-661
