Multi-Feature Fusion in Particle Filter Framework for Visual Tracking

In this article, a particle filter based tracking algorithm is proposed to track a target in video with vivid and complex environments. The target is represented in feature space by both color distribution and KAZE features. Color distribution is selected for its robustness to target's scale va...

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Veröffentlicht in:	IEEE sensors journal 2020-03, Vol.20 (5), p.2405-2415
Hauptverfasser:	Bhat, Pranab Gajanan, Subudhi, Badri Narayan, Veerakumar, T., Laxmi, Vijay, Gaur, Manoj Singh
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Color Equations of motion Feature extraction fusion Image color analysis Iterative methods KAZE Kinematics Machine learning Matching Mathematical model Occlusion Optical tracking particle filter Performance evaluation Performance measurement Similarity Target tracking Visual tracking Visualization
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