An adaptive and selective multi-target tracker combines various methods for object detection and tracking such as
feature-based methods and trajectory-based tracking, thus providing meaningful results with variable shape, brightness
and size of the target images. In the case of a high dynamic scene, dynamically varying parameter sets must be used for
the detection of object images and object tracking. This requires an automatic generation of parameter sets by adaptive
adjustment. In this paper, the selected process chains for the automatic and seamless tracking of multiple object images
and for the interpretation of target objects in image sequences are presented.
Chen-Ko Sung, Chen-Ko Sung,
"Adaptive and selective multi-target-tracker", Proc. SPIE 8137, Signal and Data Processing of Small Targets 2011, 81370T (16 September 2011); doi: 10.1117/12.892086; https://doi.org/10.1117/12.892086