Color based multiple people tracking

نویسندگان

  • Jiang Li
  • Chin-Seng Chua
  • Yeong-Khing Ho
چکیده

In this paper, we address the probleni of tmcking multiple people in a cluttered environment had on thorough usage of color infomintion. We introduce color invariants to the proposed conihineci color spxtial model, which combines the low-level arid nlid<ilelevel color spatial infomiation togetlier. This formalization gives ils a way to coiiibine low-level ~ n d middle-level color spatial distribution to I,iiild t i person model. In multiple targets cluttered environment, color invariant and color sjmtial information play an important role in robust surveillance s)steni. We propme a moditied mean shift nlgorithm tn track multiple people based on color invariants niid color spatial model. The interactions of multiple people have also been studied in order to guide the t r ih ing under occlusion.

برای دانلود رایگان 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

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 کامل

Pedestrians Tracking in a Camera Network

With the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. Therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. Tracking people as they move through a camera network with non-overlapping field...

متن کامل

Pedestrians Tracking in a Camera Network

With the increase of the number of cameras installed across a video surveillance network, the ability of security staffs to attentively scan all the video feeds actually decreases. Therefore, the need for an intelligent system that operates as a tracking system is vital for security personnel to do their jobs well. Tracking people as they move through a camera network with non-overlapping field...

متن کامل

Tracking Multiple People with Multiple Cameras

In this paper we present a robust real-time method for tracking multiple people from multiple cameras. Our method uses both static and Pan-Tilt-Zoom (PTZ) cameras. The static cameras are used to locate people in the scene, while the PTZ cameras “lock-on” to the individuals and provide visual attention. The system provides consistency in tracking between PTZ cameras and works reliably well when ...

متن کامل

People Re-identification in Non-overlapping Field-of-views using Cumulative Brightness Transform Function and Body Segments in Different Color Spaces

Non-overlapping field-of-view (FOV) cameras are used in surveillance system to cover a wider area. Tracking in such systems is generally performed in two distinct steps. In the first step, people are identified and tracked in the FOV of a single camera. In the second step, re-identification of the people is carried out to track them in the whole area under surveillance. Various conventional fea...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002