In:
Systems and Computers in Japan, Wiley, Vol. 37, No. 12 ( 2006-11-15), p. 69-81
Abstract:
This research paper proposes an image processing algorithm for tracking nonrigid moving objects such as humans in outdoor locations. Since the camera itself moves, it is believed that an effective method extracts and tracks the movement object by using the differences in the flow against the background, rather than by using intensity‐based background subtraction. However, since nonrigid objects are tracked outdoors, the flow is partially lost due to variation in the shape and aspect, occlusion due to obstacles, passage through high‐contrast backgrounds, and other factors, so the tracking center of gravity is not stable, and tracking is often lost. In view of the above, tracking is carried out in the proposed method by using areas referred to as “temporally averaged silhouettes,” which are obtained by accumulating small areas extracted by the difference between the background and the flow while positioning the small areas in pixel units across a number of frames. Since the flow is observed over a long period of time instead of carrying out detailed spatial calculations, the area of the moving object can be stably calculated even if the flow partially disappears, so computational efficiency is good. The results of experiments using scenes with humans in motion confirm that stable tracking results that are equivalent to or better than cases in which the flow is calculated for the entire image (about 1200 points) are obtained by using a flow with a small number of points (average: 64 points) in the combined moving‐object and background areas. © 2006 Wiley Periodicals, Inc. Syst Comp Jpn, 37(12): 69–81, 2006; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/scj.20490
Type of Medium:
Online Resource
ISSN:
0882-1666
,
1520-684X
Language:
English
Publisher:
Wiley
Publication Date:
2006
detail.hit.zdb_id:
1481137-6
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