A Single Camera Pedestrian Tracking Method
A pedestrian tracking, single camera technology, applied in the field of single camera pedestrian tracking, can solve the problem of interruption of pedestrian trajectories and achieve the effect of improving target confusion
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Embodiment 1
[0068] The pedestrian tracking method of the single camera provided by the present invention, such as figure 1 , 3 , 4, including the following steps:
[0069] S1. The video image is detected, and the detected pedestrian is called an observation target;
[0070] S2. Assuming that there are κ observation objects detected in the current frame t, extract the features of the κ observation objects;
[0071] S3. Set in the current frame t, there are several motion trajectories before the current frame t, T={d s , d s+1 ,...,d e} represents a motion trajectory, where s and e are the starting and ending moments of the trajectory T respectively; for the motion trajectory Select the observation target that may be associated in the current frame t through the position constraints, and then calculate the motion trajectory T i The similarity with the observed target that may be associated will be related to the motion trajectory T i The observation target with the highest similarit...
Embodiment 2
[0121] In this example, the method provided in Example 1 is specifically tested. This test uses two videos of different densities in the PETS2009 database, namely S2L1 sequence and S2L2 sequence, and compares it with the current highest level method. method one [1] An energy function containing physical constraints and image evidence is constructed, and the target trajectory is found by optimizing the continuous energy function. Method Two [2] It is a method based on graph theory optimization to complete the matching of observation targets by constructing a hypergraph with undirected hierarchical associations. The performance evaluation indicators and their meanings are as follows, where "↑" indicates that the larger the value, the better the tracking result, and "↓" indicates that the smaller the value, the better the tracking result:
[0122] Label switching number (IDs↓, ID Switch), the sum of label switching times of the same real target.
[0123] The number of interrup...
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