Motion Segmentation and Tracking

نویسندگان

  • King Yuen Wong
  • Minas E. Spetsakis
چکیده

This paper presents a novel tracking based motion segmentation algorithm. The tracking is done by fitting successively more elaborate models of optical flow on the tracked region and the segmentation is done by extracting the regions of the image that are consistent with the computed model of flow. The method can track objects in image sequences with moving background, taken by a hand-held camera, tolerate up to 30 pixels interframe motion and takes 0.3 seconds per frame pair of size 320 x 240 pixels on a 500 Mhz Sun Blade 100 workstation. Ke ywords: Motion Segmentation, Tracking, Optical Flow

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

Computation Optical Flow Using Pipeline Architecture

Accurate estimation of motion from time-varying imagery has been a popular problem in vision studies, This information can be used in segmentation, 3D motion and shape recovery, target tracking, and other problems in scene analysis and interpretation. We have presented a dynamic image model for estimating image motion from image sequences, and have shown how the solution can be obtained from a ...

متن کامل

Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation

We present an approach for object segmentation in videos that combines frame-level object detection with concepts from object tracking and motion segmentation. The approach extracts temporally consistent object tubes based on an off-the-shelf detector. Besides the class label for each tube, this provides a location prior that is independent of motion. For the final video segmentation, we combin...

متن کامل

Tracking Multiple Self-Occluding People using Dense Spatio-Temporal Motion Segmentation

Abstract. This master thesis discribes a new dense spatio-temporal motion segmentation algorithm with application to tracking of people in crowded environments. The algorithm is based on state-of-the-art motion and image segmentation algorithms. We specifically make use of a mean shift image segmentation algorithm and two graph based motion segmentation algorithms. The resulting motion segmenta...

متن کامل

Tracking, Segmentation and Optical Flow

Two difficult issues in optical flow are motion discontinuities and large interframe motion. We present an algorithm that addresses both issues by first performing feature tracking and motion segmentation and then warping one of the images to reduce the interframe motion and avoid the motion discontinuities. The algorithm consists of three major phases: 1) feature selection, 2) feature tracking...

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

A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects

Recently, Minimum Cost Multicut Formulations have been proposed and proven to be successful in both motion trajectory segmentation and multi-target tracking scenarios. Both tasks benefit from decomposing a graphical model into an optimal number of connected components based on attractive and repulsive pairwise terms. The two tasks are formulated on different levels of granularity and, according...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002