Abstract

It is easy to install multiple inexpensive video surveillance cameras around an area. However, multiple-camera tracking is still a developing field. Surveillance products that can be produced with multiple video cameras include camera cueing, wide-area traffic analysis, tracking in the presence of occlusions, and tracking with in-scene entrances. All of these products require solving the consistent labelling problem. This means giving the same meta-target tracking label to all projections of a realworld target in the various cameras. This thesis covers the implementation and testing of a multiple-camera peopletracking algorithm. First, a shape-matching single-camera tracking algorithm was partially re-implemented so that it worked on test videos. The outputs of the single-camera trackers are the inputs of the multiple-camera tracker. The algorithm finds the feet feature of each target: a pixel corresponding to a point on a ground plane directly below the target. Field of view lines are found and used to create initial meta-target associations. Meta-targets then drop a series of markers as they move, and from these a homography is calculated. The homographybased tracker then refines the list of meta-targets and creates new meta-targets as required. Testing shows that the algorithm solves the consistent labelling problem and requires few edge events as part of the learning process. The homography-based matcher was shown to completely overcome partial and full target occlusions in one of a pair of cameras.

Library of Congress Subject Headings

Computer vision--Mathematical models; Pattern recognition systems; Electronic surveillance--Data processing; Automatic tracking--Data processing

Publication Date

6-1-2008

Document Type

Thesis

Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)

Advisor

Rhody, Harvey

Advisor/Committee Member

Dianat, Sohail

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: TA1634 .T87 2008

Campus

RIT – Main Campus

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