Subjective trajectory characterization: acquisition, matching, and retrieval

Michael Yonghua Zhang; Luke Olsen; Jeffrey E. Boyd

doi:10.1117/12.642362

16 January 2006 Subjective trajectory characterization: acquisition, matching, and retrieval

Michael Yonghua Zhang, Luke Olsen, Jeffrey E. Boyd

Proceedings Volume 6061, Internet Imaging VII; 60610P (2006) https://doi.org/10.1117/12.642362
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

We describe a system that automatically tracks moving objects in a scene and subjectively characterizes the object trajectories for storage and retrieval. A multi-target color-histogram particle filter combined with besthypothesis data association is the foundation of our trajectory acquisition algorithm. To improve computational performance, we use quasi-Monte-Carlo methods to reduce the number of particles required by each filter. The tracking system operates in real-time to produce a stream of XML documents that contain the object trajectories. To characterize trajectories subjectively, we form a set of shape templates that describes basic maneuvers (e.g., gentle turn right, hard turn left, straight line). Procrustes shape analysis provides a scaleand rotation-invariant mechanism to identify occurrences of these maneuvers within a trajectory. To add spatial information to our trajectory representation, we partition the two-dimensional space under surveillance into a set of mutually exclusive regions. A temporal sequence of region-to-region transitions gives a spatial representation of the trajectory. The shape and position descriptions combine to form a compact, high-level representation of a trajectory. We provide similarity measures for the shape, position, and combined shape and position representations.

Citation Download Citation

Michael Yonghua Zhang, Luke Olsen, and Jeffrey E. Boyd "Subjective trajectory characterization: acquisition, matching, and retrieval", Proc. SPIE 6061, Internet Imaging VII, 60610P (16 January 2006); https://doi.org/10.1117/12.642362

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available