Video Traffic Analysis for Abnormal Event Detection
-
2010-01-01
Details:
-
Creators:
-
Corporate Creators:
-
Subject/TRT Terms:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final report.
-
Corporate Publisher:
-
Abstract:We propose the use of video imaging sensors for the detection and classification of abnormal events to
be used primarily for mitigation of traffic congestion. Successful detection of such events will allow for
new road guidelines; for rapid deployment of various transportation and safety agencies; for interactive
displays that alert drivers to, for example, slow down or speed up, move to a different lane, or, alter
their driving behavior, so as to reduce the probability of traffic congestion or the occurrence of more
abnormal events. Deciding on additional road guidelines or proper display information, can be
accomplished either via computer simulations or experimentation with field implementations. We
extended ināhouse developed algorithms to detect and track vehicles in video sequences and analyze
their trajectories. Through analysis we will classify their trajectories independently but also considering
vehicle interactions, into abnormal and normal events. A main objective of the analysis is to determine
how each type of abnormal event affects subsequent traffic, and serves as a predictor of congestion
build up. Towards this task we will identify each type of abnormal event by implementing a supervised
classifier, and built models to describe them and their effect (over time).
-
Format:
-
Collection(s):
-
Main Document Checksum:
-
File Type:
Supporting Files
-
No Additional Files
More +