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The CPHD and R-RANSAC trackers applied to the VIVID dataset
2014
Signal and Data Processing of Small Targets 2014
In this work, two multitarget trackers -the Cardinalized Probability Hypothesis Density (CPHD) filter and the Recursive Random Sample Consensus (R-RANSAC) algorithm -were applied to three scenarios of the VIdeo Verification of IDentity (VIVID) dataset provided by DARPA. The dataset consists of real video data of multiple cars observed from an unmanned aerial vehicle (UAV) and includes challenging situations such as dense traffic and occlusions. The same detector output was given to each tracker
doi:10.1117/12.2068075
fatcat:qimvvwkxcrdqbkjqzwmb3xfdqy