منابع مشابه
Online multiple people tracking-by-detection in crowded scenes
Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...
متن کاملTracking millions of humans in crowded space in crowded spaces
As Aristotle noted, “man is by nature a social animal”. We do not live in isolation. On a daily basis, thousands of individuals walk in terminals, malls or city centers. They consciously or unconsciously interact with each other. They make decisions on where to go, and how to get to their destination. Their mobility is often influenced by their surrounding. Understanding human social dynamics p...
متن کاملTraffic Flow Monitoring in Crowded Cities
Traffic monitoring systems usually make assumptions about the movement of vehicles, such as that they drive in dedicated lanes, and that those lanes rarely include non-vehicle clutter. Urban settings within developing countries often present extremely chaotic traffic scenarios which make these assumptions unrealistic. We show how a standard approach to traffic monitoring can be made more robust...
متن کاملonline multiple people tracking-by-detection in crowded scenes
multiple people detection and tracking is a challenging task in real-world crowded scenes. in this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. we have detected objects with deformable part models and a visual background extractor. in the tracking phase we have used a combination of support vector machine (svm) person-specific classifie...
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ژورنال
عنوان ژورنال: JOURNAL OF APPLIED COMPUTING IN CIVIL ENGINEERING
سال: 2005
ISSN: 1342-3894,1349-1040,1884-913X,2185-7857
DOI: 10.2208/journalac2003.14.0_95