Related papers: YASMOT: Yet another stereo image multi-object tracker

YASMOT: Yet another stereo image multi-object tracker

URL: http://arxiv.org/abs/2506.17186v1
Date: Fri, 20 Jun 2025 17:40:54 GMT
Title: YASMOT: Yet another stereo image multi-object tracker
Authors: Ketil Malde,
Abstract summary: yasmot is a lightweight and flexible object tracker that can process the output from popular object detectors.<n>It includes functionality to generate consensus detections from ensembles of object detectors.
Score: 0.0
License: http://creativecommons.org/licenses/by/4.0/
Abstract: There now exists many popular object detectors based on deep learning that can analyze images and extract locations and class labels for occurrences of objects. For image time series (i.e., video or sequences of stills), tracking objects over time and preserving object identity can help to improve object detection performance, and is necessary for many downstream tasks, including classifying and predicting behaviors, and estimating total abundances. Here we present yasmot, a lightweight and flexible object tracker that can process the output from popular object detectors and track objects over time from either monoscopic or stereoscopic camera configurations. In addition, it includes functionality to generate consensus detections from ensembles of object detectors.

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