Revision history [back]

Hi..

I would like to develop an object tracking like a paper below:

[1] Li, J., Zhang, J., Zhou, Z., Guo, W., Wang, B., & Zhao, Q. (2011, October). Object tracking using improved Camshift with SURF method. In Open-Source Software for Scientific Computation (OSSC), 2011 International Workshop on (pp. 136-141). IEEE.

in this paper, the new algorithm being able to adjust the thresholds of S and V adaptively against the environment changes. Specifically, when under a strong illumination, the algorithm ignores those pixels with high S values, and when under weak illumination it ignores those with low S.[p:138]

Anybody knows how to determine an image with strong or weak illumination in OpenCV? What value should I get to represent an image with strong illumination or weak illumination?

Thanks in advance

Hi..

I would like to develop an object tracking like a paper below:

[1] Li, J., Zhang, J., Zhou, Z., Guo, W., Wang, B., & Zhao, Q. (2011, October). Object tracking using improved Camshift with SURF method. In Open-Source Software for Scientific Computation (OSSC), 2011 International Workshop on (pp. 136-141). IEEE.

in this paper, the new algorithm being able to adjust the thresholds of S and V adaptively against the environment changes. Specifically, when under a strong illumination, the algorithm ignores those pixels with high S values, and when under weak illumination it ignores those with low S.[p:138]

Anybody knows how to determine an image with strong or weak illumination in OpenCV? What value should I get to represent an image with strong illumination or weak illumination?

Thanks in advance

Hi..

I would like to develop an object tracking like a paper below:

[1] Li, J., Zhang, J., Zhou, Z., Guo, W., Wang, B., & Zhao, Q. (2011, October). Object tracking using improved Camshift with SURF method. In Open-Source Software for Scientific Computation (OSSC), 2011 International Workshop on (pp. 136-141). IEEE.

in this paper, the new algorithm being able to adjust the thresholds of S and V adaptively against the environment changes. Specifically, when under a strong illumination, the algorithm ignores those pixels with high S values, and when under weak illumination it ignores those with low S.[p:138]

Anybody knows how to determine an image with is under strong or weak illumination in OpenCV? What value should I get to represent an image with is under strong illumination or weak illumination?

Thanks in advance