Motion Maps and Their Applications for Dynamic Object Monitoring

• Published in: Pattern recognition and image analysis Vol. 29; no. 1; pp. 131 - 143
• Main Authors: Chen, Huafeng, Ye, Shiping, Nedzvedz, O., Ablameyko, S., Bai, Zhican
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 2019
• Subjects: Applied Problems; Computer Science; Image Processing and Computer Vision; Pattern Recognition; segmentation; motion map; integral optical flow; dynamic object behavior; motion analysis
• ISSN: 1054-6618; 1555-6212
• DOI: 10.1134/S1054661819010139

In this paper, dynamic object behavior analysis task is considered. We use basic optical flow to form integral optical flow and use it to separate background and foreground and obtain intensive motion regions. Based on information extracted from integral optical flow, we introduce notion of motion maps and show how it can be used for dynamic object motion analysis. In motion maps, we analyze pixel motions statistically for each frame to obtain quantity of pixels moving toward or away from each position and their comprehensive motion at each position. We then define and compute regional motion indicators to describe motions at regional level. These indicators are further used for analysis of dynamic object behavior. We conduct a set of experiments on real world videos. Experimental results show that motion maps can be effectively used for dynamic object monitoring.