摘要: We present here a real-time tracking algorithm for thermal video from sports game. Robust detection of people includes routines handling occlusions and noise before each detected person with Kalman filter. This online is compared state-of-the-art offline multi-target algorithm. Experiments are performed on manually annotated 2-minutes sequence real soccer The filter shows very promising result this rather challenging accuracy above 70% superior the approach. Furthermore, combined runs in time at 33 fps, even large image sizes 1920 × 480 pixels.
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