Performance Evaluation Metrics for Video Tracking

Various tracking methods have been developed to track objects with different degrees or levels of tracking
ability. The ability or performance of each tracking method is dependent on the feature or data that is being
used for tracking purpose. The ability of a tracking method can be measured by utilizing tracking metrics to
give an indication of the tracking ability of an algorithm. This paper offers some insights into the issues and
similarities of performance measurement reporting of video tracking algorithms and proposes a method in
assessing the robustness of a video tracking algorithm. The proposed metric introduces another measure
to measure the consistency of a tracking algorithm. The work presented in this paper shows that using
only one metric to measure the tracking performance is inadequate. The proposed metric presented in this
paper
shows that the utilization of multiple metrics such as tracking success rate and tracking consistency
or robustness would give a better indication of the tracking ability of a tracking algorithm used in video surveillance.