Abstract:
The traditional color-based mean shift tracking algorithm is unable to accurately track the object. To address the problems, this paper presents an improved tracking algo...Show MoreMetadata
Abstract:
The traditional color-based mean shift tracking algorithm is unable to accurately track the object. To address the problems, this paper presents an improved tracking algorithm. The improved tracker integrates the color and motion cues which characterize the appearance and motion information of object respectively. During the tracking process, this integration strategy can dynamically adjust the weight of each visual cue according to their reliability, thus these two visual cues can complement each other and make for more precise target localization. The experimental results demonstrate that the proposed tracking algorithm improves the tracking performance of the traditional mean shift tracker in complicated real scenarios.
Published in: 2009 12th International Conference on Information Fusion
Date of Conference: 06-09 July 2009
Date Added to IEEE Xplore: 18 August 2009
Print ISBN:978-0-9824-4380-4
Conference Location: Seattle, WA, USA
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Target Location ,
- Visual Cues ,
- Tracking Accuracy ,
- Tracking Algorithm ,
- Motion Information ,
- Tracking Process ,
- Motion Cues ,
- Color Cues ,
- Pedestrian ,
- Central Location ,
- Human Faces ,
- Adaptive Technique ,
- Target Model ,
- Central Objective ,
- Current Frame ,
- Previous Frame ,
- Color Distribution ,
- Reliable Cues ,
- Color Histogram ,
- Target Frame ,
- Mean Motion
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Target Location ,
- Visual Cues ,
- Tracking Accuracy ,
- Tracking Algorithm ,
- Motion Information ,
- Tracking Process ,
- Motion Cues ,
- Color Cues ,
- Pedestrian ,
- Central Location ,
- Human Faces ,
- Adaptive Technique ,
- Target Model ,
- Central Objective ,
- Current Frame ,
- Previous Frame ,
- Color Distribution ,
- Reliable Cues ,
- Color Histogram ,
- Target Frame ,
- Mean Motion
- Author Keywords