Person detection and tracking with a 360° lidar system

Marcus Hammer; Marcus Hebel; Michael Arens

doi:10.1117/12.2278215

5 October 2017 Person detection and tracking with a 360° lidar system

Marcus Hammer, Marcus Hebel, Michael Arens

Proceedings Volume 10434, Electro-Optical Remote Sensing XI; 104340L (2017) https://doi.org/10.1117/12.2278215
Event: SPIE Security + Defence, 2017, Warsaw, Poland

Abstract

Today it is easily possible to generate dense point clouds of the sensor environment using 360° LiDAR (Light Detection and Ranging) sensors which are available since a number of years. The interpretation of these data is much more challenging. For the automated data evaluation the detection and classification of objects is a fundamental task. Especially in urban scenarios moving objects like persons or vehicles are of particular interest, for instance in automatic collision avoidance, for mobile sensor platforms or surveillance tasks.

In literature there are several approaches for automated person detection in point clouds. While most techniques show acceptable results in object detection, the computation time is often crucial. The runtime can be problematic, especially due to the amount of data in the panoramic 360° point clouds. On the other hand, for most applications an object detection and classification in real time is needed.

The paper presents a proposal for a fast, real-time capable algorithm for person detection, classification and tracking in panoramic point clouds.

Citation Download Citation

Marcus Hammer, Marcus Hebel, and Michael Arens "Person detection and tracking with a 360° lidar system", Proc. SPIE 10434, Electro-Optical Remote Sensing XI, 104340L (5 October 2017); https://doi.org/10.1117/12.2278215

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