The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 2P1-R11
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Proposal of Event-Driven Particle Filter for Object Tracking
*Yuki KAWASAKIShinsuke YASUKAWA
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Abstract

A method is proposed for tracking pulsating objects by integrating a high-speed, low-latency event-driven camera and a newly developed event-driven particle filter. The event-driven particle filter is an efficient algorithm that computes the input from an event-driven camera as an event representation. It updates the particle state by a state transition model and the particle weight by a likelihood calculation for each event occurrence. The proposed method was evaluated by presenting an event-driven camera with a test video of a target in pulsating motion on a fast-refresh-rate display. The experimental results confirm that the method can estimate the next state in a 1-ms period of the target.

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© 2022 The Japan Society of Mechanical Engineers
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