Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images

Schmidt J, Kwolek B, Fritsch J (2006)
In: Proc. of Automatic Face and Gesture Recognition. Southampton, UK: IEEE: 567-572.

Conference Paper | Published | English

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This paper presents the application of a kernel particle filter for 3D body tracking in a video stream acquired from a single uncalibrated camera. Using intensity-based and color-based cues as well as an articulated 3D body model with shape represented by cylinders, a real-time body tracking in monocular cluttered image sequences has been realized. The algorithm runs at 7.5 Hz on a laptop computer and tracks the upper body of a human with two arms. First experimental results show that the proposed approach has good tracking as well as recovering capabilities despite using a small number of particles. The approach is intended for use on a mobile robot to improve human robot interaction.
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Schmidt J, Kwolek B, Fritsch J. Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images. In: Proc. of Automatic Face and Gesture Recognition. Southampton, UK: IEEE; 2006: 567-572.
Schmidt, J., Kwolek, B., & Fritsch, J. (2006). Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images. Proc. of Automatic Face and Gesture Recognition, 567-572.
Schmidt, J., Kwolek, B., and Fritsch, J. (2006). “Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images” in Proc. of Automatic Face and Gesture Recognition (Southampton, UK: IEEE), 567-572.
Schmidt, J., Kwolek, B., & Fritsch, J., 2006. Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images. In Proc. of Automatic Face and Gesture Recognition. Southampton, UK: IEEE, pp. 567-572.
J. Schmidt, B. Kwolek, and J. Fritsch, “Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images”, Proc. of Automatic Face and Gesture Recognition, Southampton, UK: IEEE, 2006, pp.567-572.
Schmidt, J., Kwolek, B., Fritsch, J.: Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images. Proc. of Automatic Face and Gesture Recognition. p. 567-572. IEEE, Southampton, UK (2006).
Schmidt, Joachim, Kwolek, B., and Fritsch, Jannik. “Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images”. Proc. of Automatic Face and Gesture Recognition. Southampton, UK: IEEE, 2006. 567-572.
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