Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking

Understand

Standardized benchmarks are crucial for the majority of computer vision applications.

• Although leaderboards and ranking tables should not be over-claimed, benchmarks often provide the most objective measure of performance and are therefore important guides for research.
• We present a benchmark for Multiple Object Tracking launched in the late 2014, with the goal of creating a framework for the standardized evaluation of multiple object tracking methods.
• This paper collects the two releases of the benchmark made so far, and provides an in-depth analysis of almost 50 state-of-the-art trackers that were tested on over 11000 frames.