Abstract

This paper presents a new multiple object tracking framework where arbitrarily shaped complex objects having severe occlusions are successfully tracked in real-time using stationary cameras. The proposed method utilizes the concept of a virtual shell that encloses each moving object in the scene and simplifies analysis of object interactions. Object’s state transitions are handled by an event resolution analysis. Such a regional analysis boosts the tracking process. Finally, a pixel level evaluation is employed for all objects to establish successful pixel memberships. The proposed tracking algorithm is experimentally tested on some public databases and our own challenging aquarium setup that contains many different fish interactions.

Highlights

  • Object tracking has been a focus of research for decades due to its promising potential for real-time applications such as intelligent user interfaces, navigation systems and surveillance

  • A successful tracking algorithm is expected to be robust against environmental changes

  • Regardless of the approach that may be taken, a robust and reliable multiple object tracking framework necessitates formal definition of the interaction problem that is boosted by merge and split predicates

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Summary

INTRODUCTION

Object tracking has been a focus of research for decades due to its promising potential for real-time applications such as intelligent user interfaces, navigation systems and surveillance. Straight-through approaches as in Khan’s method [12] and Haritaoglu’s Hydra system [13] do not handle split and merge cases separately These approaches continue to track each individual object in the presence of occlusions using various image features. Regardless of the approach that may be taken, a robust and reliable multiple object tracking framework necessitates formal definition of the interaction problem that is boosted by merge and split predicates. Motivated by these observations, in this work, we propose a novel method for solving multiple object tracking problem under severe occlusions.

TRACKING USING VIRTUAL SHELLS
Position Update
EXPERIMENTS
CONCLUSION AND FUTURE WORKS
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