ENGLISH

Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking

By Michael , Grinberg

Book information

Publisher
KIT Scientific Publishing
Year
2018
ISBN
3731507811, 9783731507819
Google Books ID
IpRuDwAAQBAJ
Language
english
Format
PDF
Filesize
4 MB (4692362 bytes)
Series
Karlsruher Schriften zur Anthropomatik, 35
Pages
296\296
Time added
2025-03-11 18:35:01

Description

This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.

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