PETS2021: Through-foliage detection and tracking challenge and evaluation

2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)(2021)

Cited 1|Views44
No score
Abstract
This paper presents the outcomes of the PETS2021 challenge held in conjunction with AVSS2021 and sponsored by the EU FOLDOUT project. The challenge comprises the publication of a novel video surveillance dataset on through-foliage detection, the defined challenges addressing person detection and tracking in fragmented occlusion scenarios, and quantitative and qualitative performance evaluation of challenge results submitted by six worldwide participants. The results show that while several detection and tracking methods achieve overall good results, through-foliage detection and tracking remains a challenging task for surveillance systems especially as it serves as the input to behaviour (threat) recognition.
More
Translated text
Key words
PETS,through-foliage detection,tracking challenge,AVSS2021,EU FOLDOUT project,video surveillance dataset,defined challenges,person detection,fragmented occlusion scenarios,quantitative performance evaluation,qualitative performance evaluation,challenge results,tracking methods
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined