Tracking in dense crowds using prominence and neighborhood motion concurrence

نویسندگان

  • Haroon Idrees
  • Nolan Warner
  • Mubarak Shah
چکیده

Article history: Received 24 January 2013 Received in revised form 25 September 2013 Accepted 30 October 2013 Available online 7 November 2013

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Local Segmentation for Pedestrian Tracking in Dense Crowds

People tracking in dense crowds is challenging due to the high levels of inter-pedestrian occlusions occurring continuously. After each successive occlusion, the surface of the tracked object that has never been hidden reduces. If not corrected, this shrinking problem eventually causes the system to stop as the area to track become too small. In this paper we investigate how hidden parts of one...

متن کامل

Kalman Filter Based Feature Analysis for Tracking People from Airborne Images

Recently, analysis of man events in real-time using computer vision techniques became a very important research field. Especially, understanding motion of people can be helpful to prevent unpleasant conditions. Understanding behavioral dynamics of people can also help to estimate future states of underground passages, shopping center like public entrances, or streets. In order to bring an autom...

متن کامل

Multiple Target Tracking With a 2-D Radar Using the JPDAF Algorithm and Combined Motion Model

Multiple target tracking (MTT) is taken into account as one of the most important topics in tracking targets with radars. In this paper, the MTT problem is used for estimating the position of multiple targets when a 2-D radar is employed to gather measurements. To do so, the Joint Probabilistic Data Association Filter (JPDAF) approach is applied to tracking the position of multiple targets. To ...

متن کامل

Applying mean shift and motion detection approaches to hand tracking in sign language

Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. Several...

متن کامل

Tracking individuals in surveillance video of a high-density crowd

Video cameras are widely used for monitoring public areas, such as train stations, airports and shopping centers. When crowds are dense, automatically tracking individuals becomes a challenging task. We propose a new tracker which employs a particle filter tracking framework, where the state transition model is estimated by an optical-flow algorithm. In this way, the state transition model dire...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Image Vision Comput.

دوره 32  شماره 

صفحات  -

تاریخ انتشار 2014