Skip navigation
Skip navigation

Model-Free Multiple Object Tracking with Shared Proposals

Zhu, Gao; Porikli, Fatih; Li, Hongdong


Most previous methods for tracking of multiple objects follow the conventional “tracking by detection” scheme and focus on improving the performance of category-specific object detectors as well as the between-frame tracklet association. These methods are therefore heavily sensitive to the performance of the object detectors, leading to limited application scenarios. In this work, we overcome this issue by a novel model-free framework that incorporates generic category-independent object...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Conference paper
DOI: 10.1007/978-3-319-54184-6_18


File Description SizeFormat Image
01_Zhu_Model-Free_Multiple_Object_2017.pdf519.26 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator