<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The detection and tracking technology of moving object image is one of the key technologies of computer vision, and is widely used in many fields such as industry, transportation, and military. The detection and tracing of moving object in the motion scenes based on the UAV platform is a technical difficulty in this field. In practical applications, the characteristics of complicated environment, small target object and moving platform require higher real-time performance and reliability of the algorithm. If it is possible to add some other features of the target to the tracking process, it will be possible to improve the shortcomings of Camshift itself. Based on the Camshift tracking algorithm, this paper integrates SURF feature detection into the algorithm, which greatly improves the tracking accuracy of the target object, and also has better real-time performance which can achieve better tracking performance of the object.</p></abstract>

The detection and tracking technology of moving object image is one of the key technologies of computer vision, and is widely used in many fields such as industry, transportation, and military. The detection and tracing of moving object in the motion scenes based on the UAV platform is a technical difficulty in this field. In practical applications, the characteristics of complicated environment, small target object and moving platform require higher real-time performance and reliability of the algorithm. If it is possible to add some other features of the target to the tracking process, it will be possible to improve the shortcomings of Camshift itself. Based on the Camshift tracking algorithm, this paper integrates SURF feature detection into the algorithm, which greatly improves the tracking accuracy of the target object, and also has better real-time performance which can achieve better tracking performance of the object.

Improvement and Realization of CamShift Algorithm Based MotionImage Tracking

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Improvement and Realization of CamShift Algorithm Based MotionImage Tracking"}

The detection and tracking technology of moving object image is one of the key technologies of computer vision, and is widely used in many fields such as...

Improvement and Realization of CamShift Algorithm Based MotionImage Tracking

Publié en ligne: 14 oct. 2019

Pages: 97 - 101

DOI: https://doi.org/10.21307/ijanmc-2019-028

Mots clés
Motion Image, CamShift Algorithm, SURF, Feature Detection

© 2018 Wang Yubian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Improvement and Realization of CamShift Algorithm Based MotionImage Tracking

Publié en ligne: 14 oct. 2019

Pages: 97 - 101

DOI: https://doi.org/10.21307/ijanmc-2019-028

Mots clésMotion Image, CamShift Algorithm, SURF, Feature Detection

© 2018 Wang Yubian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Mots clés
Motion Image, CamShift Algorithm, SURF, Feature Detection