At present, the use of VS + opencv 2.4.9 in pedestrian tracking, combined with the existing procedure is only Camshift program, the drawback is that when the target face obscured, easily lost. To solve this problem, I introduced kalman knowledge, in real time prediction of pedestrian movement, when the target block is encountered, can be predicted, this time can improve the robustness. Camshift paper + Kalman prediction pedestrian tracking code is based opencv2.4.9 make written application can be directly used, very convenient. Interested friends can be further optimized on the basis of this algorithm, I believe this code base, the next step will be a lot easier. The code also helps programmers new entry-depth learning, or directly used experimental development and so on.
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