Multi-modality fusion in multiple object tracking

Multi-modality fusion in multiple object tracking

Tracking multiple individuals in unconstrained videos, especially in challenging scenarios like crowded environments or situations with visually similar people, presents substantial difficulties. Existing tracking methods heavily depend on sophisticated detectors and task-specific data association t...

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Bibliographic Details
Main Author: Liao, Ruosen
Other Authors: Lin Zhiping
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:https://hdl.handle.net/10356/173003
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/173003

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