Work

A Roadside Vehicle Tracking Scheme based on Predicting Vehicle Area Occlusion

Year: 2025

Type: conference-paper

Abstract: Roadside vehicle tracking is generally used in outdoor intelligent parking scenarios. Using elevated cameras, track vehicles entering and exiting roadside parking spaces in the open air and time them to calculate parking fees. In this scenario, moving vehicles will approach stationary vehicles parked in the parking space, which is prone to id switch phenomenon. To reduce the frequency of id switches, I propose a new tracking scheme called OcclusionTrack. The scheme first divides the vehicles into four areas and predicts whether each area is obstructed by other vehicles, and adjusts the size of the tracking box accordingly to improve tracking accuracy. After a large number of comparative experiments, the method proposed in this article has obtained competitive results.

Source: International Conference on Computer and Multimedia Technology (ICCMT)

DOI: 10.1145/3757749.3757788

Authors: Haiyan Wu, Lingfeng Kong, Guimin Lin

Institutions: Fujian Normal University, Minjiang University

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: hybrid

Funder: Natural Science Foundation of Fujian Province