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Real-Time Object Tracking Algorithm based on Adaptive Color Model in Surveillance Networks

서베일런스 네트워크에서 적응적 색상 모델을 기초로 한 실시간 객체 추적 알고리즘

  • Kang, Sung-Kwan (Dept. of Computer and Information Engineering, Inha University) ;
  • Lee, Jung-Hyun (Dept. of Computer and Information Engineering, Inha University)
  • 강성관 (인하대학교 컴퓨터정보공학부) ;
  • 이정현 (인하대학교 컴퓨터정보공학부)
  • Received : 2015.05.04
  • Accepted : 2015.09.20
  • Published : 2015.09.28

Abstract

In this paper, we propose an object tracking method using the color information of the image in surveillance network. This method perform a object detection using of adaptive color model. Object contour detection plays an important role in application such as object recognition. Experimental results demonstrate successful object detection over a wide range of object's variation in color and scale. In applications to detect an object in real time, when transmitting a large amount of image data it is possible to find the mode of a color distribution. The specific color of an object is modified at dynamically changing color in image. So, this algorithm detects the tracking area information of object within relevant tracking area and only tracking the movement of that object.Through experiments, we show that proposed method is more robust than other methods under certain ideal situations.

Keywords

Object Detection;Skin Color-based Tracking;Color Segmentation;Object Tracking;Surveillance Networks

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