سال انتشار: ۱۳۸۵

محل انتشار: چهارمین کنفرانس ماشین بینایی و پردازش تصویر

تعداد صفحات: ۹

نویسنده(ها):

Hadi Sadoghi Yazdi – Engineering Department Tarbiat Moallem University of Sabzevar, Sabzevar, Iran
Mojtaba Lotfizad – Department of Electrical Engineering, Tarbiat Modarres University , Tehran, Iran
Ehsanollah Kabir – Department of Electrical Engineering, Tarbiat Modarres University , Tehran, Iran
Mahmood Fathy – Faculty of Computer Engineering, Iran University of Science an technology, Tehran, Iran

چکیده:

In this paper, a history-based vehicle tracking algorithm is presented which is a new top-down or learning-based vehicle tracker. History of trajectory is represented by a weighted directed graph (WDG), called motion history graph, MHG. This algorithm includes two phases; spatio-temporal trajectory is stored in a WDG in the learning. In the search phase the spatio-temporal database is employed to increase the performance of the predictor. The spatiotemporal database is also updated. The proposed technique is used for vehicle tracking in highways. It yields a decrease of up to 80% in prediction error relative to a conventional technique.