نتایج جستجو برای: crowded scenes

تعداد نتایج: 26030  

Journal: :journal of advances in computer engineering and technology 2015
sahar rahmatian reza safabakhsh

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...

Journal: :Engineering, Technology & Applied Science Research 2020

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...

2008
Louis Kratz

The abundance of video surveillance systems has created a dire need for computational methods that can assist or even replace human operators. Research in this field, however, has yet to tackle an important real-world scenario: extremely crowded scenes. The excessive amount of people and their activities in extremely crowded scenes present unique challenges to motion-based video analysis. In th...

2013
Sara Atito Aly Ahmed Mamdouh Moatz Abdelwahab

Counting and tracking vehicles in very crowded scenes is a very challenging problem, where many products require discipline conditions to deal with. In this paper, a novel algorithm for automatically counting the number of moving vehicles and estimating their velocities and paths in regular and very crowded scenes, under different conditions, is presented. In this method, interest points are de...

2012
Xuemei Zhao Dian Gong Gérard G. Medioni

This paper proposes Motion Structure Tracker (MST) to solve the problem of tracking in very crowded structured scenes. It combines visual tracking, motion pattern learning and multi-target tracking. Tracking in crowded scenes is very challenging due to hundreds of similar objects, cluttered background, small object size, and occlusions. However, structured crowded scenes exhibit clear motion pa...

Journal: :IEICE Transactions on Information and Systems 2015

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