1 September 2006 Two-stage real-time head tracking by an active camera based on multimodal information
Author Affiliations +
We propose a two-stage real-time tracking algorithm for an active camera system having pan-tilt-zoom functions. The algorithm is based on the assumption that a human head has an elliptical shape and that its model color histogram has been acquired in advance. The algorithm consists of two stages, a color-based convergence stage for fast and reliable tracking and a refinement stage for accurate tracking based on multimodal information. In the first color convergence stage, we roughly estimate the target position by using the mean-shift method based on the histogram similarity between the model and a candidate ellipse. To better predict the initial position for the mean shift, the global motion is compensated; to enhance reliability of the mean shift, the model histogram is appropriately updated by referring to the target histogram in the previous frame. In the subsequent refinement stage, we refine the position and size of the ellipse obtained at the first stage by using multimodal information such as color, shape, and quasi-spatial information. In particular, to quantify the quasi-spatial information, we use a spatial color histogram obtained by properly dividing the ellipse into two regions. Extensive experiments verify that the proposed algorithm robustly tracks the head, even when the subject moves quickly, the head size changes drastically, or the background has many clusters and/or distracting colors. Also, the proposed algorithm can perform real-time tracking with a processing speed of about 10 fps on a standard PC.
© (2006) Society of Photo-Optical Instrumentation Engineers (SPIE)
Dong-gil Jeong, Dong Goo Kang, Yu Kyoung Yang, and Jong Beom Ra "Two-stage real-time head tracking by an active camera based on multimodal information," Optical Engineering 45(9), 097005 (1 September 2006). https://doi.org/10.1117/1.2354452
Published: 1 September 2006


Visual navigation of the UAVs on the basis of 3D...
Proceedings of SPIE (December 07 2015)

Back to Top