Tracking of Real Time Acrobatic Movements by Image Processing

This paper presents the design and evaluation approach of a video camera-based system for tracking and evaluating acrobatic movements. The context of this study is human gesture recognition in trampoline competition performance. Our work builds a model of trampoline movement and conducts efficient real time tracking of the trampolinist in order to recognize and evaluate a competition routine. We describe the prospective architecture of our system, which satisfies constraints of real time image processing. The global project includes three consecutive phases: first, body extraction and tracking in the image sequence, second, body part localization, and last, gesture recognition and quantification according to our model of trampoline movement characterization. This paper describes the first phase, which combines image processing techniques to perform fast and efficient extraction and tracking of the trampolinist’s body. We then set out an evaluation protocol and the results for this phase.