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ETD Abstract Container

Abstract Header

Detecting Behavioral Zones in Local and Global Camera Views

Nedrich, Matthew
http://rave.ohiolink.edu/etdc/view?acc_num=osu1306343833

Abstract Details

2011, Master of Science, Ohio State University, Computer Science and Engineering.
We present a complete end-to-end framework to detect and exploit entry and exit regions in video using behavioral models for object trajectories. We first describe how weak tracking data (short and frequently broken tracks) may be utilized to hypothesize entry and exit regions by constructing the weak tracks into a more usable set of "entity" tracks. The entities provide a more reliable set of entry and exit observations which are clustered to produce a set of potential entry and exit regions within a scene. A behavior-based reliability metric is then used to score each potential entry and exit region, and unreliable regions are removed. Using the detected regions, we then present a method to learn scene occlusions and causal relationships between entry-exit pairs. An extension is also presented that allows our entry/exit detection algorithm to detect global entry and exit regions with respect to the viewspace of a pan-tilt-zoom camera. We provide thorough evaluation of our local and viewspace region discovery approaches, including quantitative experiments, and compare our local method to existing approaches. We also provide experimental results for our region exploitation methods (occlusion discovery and entry-exit region relationships), and demonstrate that they may be incorporated to aid in tasks such as tracking and anomaly detection.
James Davis, Prof. (Advisor)
Richard Parent, Prof. (Committee Member)
110 p.
Computer Science
scene modeling; computer vision; scene understanding

Recommended Citations

Citations

  • Nedrich, M. (2011). Detecting Behavioral Zones in Local and Global Camera Views [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306343833

    APA Style (7th edition)

  • Nedrich, Matthew. Detecting Behavioral Zones in Local and Global Camera Views. 2011. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1306343833.

    MLA Style (8th edition)

  • Nedrich, Matthew. "Detecting Behavioral Zones in Local and Global Camera Views." Master's thesis, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306343833

    Chicago Manual of Style (17th edition)

osu1306343833
714
© 2011, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.