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=
Abstract
– Crowd
motion analysis covers the detection, tracking, recognition, and behavior
interpretation of a target group according to persistent surveillance video
data. This project is dedicated to developing and employing a generic crowd
motion analysis framework, which is based on an analog-heat-transfer model =
and
thus denoted as CMA-AHT for simplicity, to measure and identify the anomalo=
us
pedestrians from persistent surveillance video data. Based on the hypothesis of <=
span
class=3DSpellE>ergodicity, the CMA-AHT framework is formulated accor=
ding
to the statistical analysis about the historical records of crowd’s
behavior, geographic information system, and crowd motion dynamics. The derivation of the CMA-AHT fram=
ework
and the innovative methods involved in the framework's implementation will =
be
discussed in detail. Using the sample video data collected by Central Flori=
da
University as a benchmark data, CMA-AHT is validated through measuring and
identifying anomalous personnel or group in the video.
=
Key Words
– crowd
motion analysis, heat-transfer, partial differential equations, geographic
information, statistics, video processing=
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