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

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

Abstract

Fisheye lenses are renowned for their capacity to capture incredibly broad perspectives, often reaching up to 180 degrees. Their versatility extends beyond computer vision tasks and encompasses various fields. While applying computer vision techniques directly to fisheye images can yield suboptimal results, this article aims to introduce an uncomplicated and straightforward adaptation of the well-known Bayesian based particle filter. Through a few minor adjustments, we will demonstrate the potential to enhance the particle filter’s performance when dealing with such images, particularly for tracking purposes. In this study, we investigate the applicability of particle filters based on features such as: color space, Local Binary Pattern, Histogram of Oriented Gradients, and their combinations. Eventually, experiments and evaluations were carried out on hand annotated real videos with a top view fisheye camera in motion.
Embargoed file
Embargoed file
0 3 24
Year Month Jours
Avant la publication
Wednesday, September 18, 2024
Embargoed file
Wednesday, September 18, 2024
Please log in to request access to the document

Dates and versions

hal-04529049 , version 1 (22-04-2024)

Identifiers

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, France. pp.4300-4304, ⟨10.1109/ICASSP48485.2024.10446632⟩. ⟨hal-04529049⟩
16 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More