Straightforward Adaptation of Particle Filter to Fish Eye Images for Top View Pedestrian Tracking - IMT Mines Alès Access content directly
Conference Poster Year : 2024

Straightforward Adaptation of Particle Filter to Fish Eye Images for Top View Pedestrian Tracking

Abstract

Object tracking in computer vision, essential for detecting, locating, and predicting object movement in videos [5], faces challenges with fisheye cameras due to wide-angle views, distortion, and complex perspective shifts. Particle Filters offer a solution by providing a flexible framework for tracking objects in nonlinear, wide-angle scenes. They excel in handling fisheye image characteristics like distortion correction and probabilistic state estimation, making them valuable for robust object tracking in fisheye camera setups.
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Dates and versions

hal-04554295 , version 1 (22-04-2024)

Identifiers

  • HAL Id : hal-04554295 , version 1

Cite

Hicham Talaoubrid, Khizar Hayat, Baptiste Magnier. Straightforward Adaptation of Particle Filter to Fish Eye Images for Top View Pedestrian Tracking. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2024, Seoul, South Korea. IEEE, 2024. ⟨hal-04554295⟩
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