Arcturus Achieves Global Recognition with Best In-Class Multiple Object Tracking Performance
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Wednesday, July 13, 2022
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TORONTO, July 13, 2022 /PRNewswire-PRWeb/ -- Arcturus Networks Inc., a leading provider of edge AI analytics and enablement today announced the results of its public submission to the global Multiple Object Tracking (MOT) benchmark competition where Arcturus Brinq Traq (BQTQ) achieved a MOTA benchmark score of 77.2 for MOT16 and 77.7 for MOT17 challenges. The results represent a 0.7 point gap from the top MOT16 position at 77.9 and a 2.6 point gap from the top MOT17 position at 80.3. This ranks Brinq tracking solutions in the top-10 globally when compared with all submissions (including leading research) and as the number one, commercially available edge solution.
Key Points:
- Multiple object tracking remains an area of highly active research among academic institutes and commercial organizations with advancements in ML enabling powerful new methods.
- Multiple object tracking requires a unique ID to be generated for each object in the field of view.
- This anonymized ID is maintained frame-over-frame as the object moves, ultimately describing how each unique object interacts with the space around it.
- Accurate multiple object tracking is achieved by maintaining each unique track ID, a task referred to as reidentification.