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首页> 中文期刊> 《智能技术学报》 >Flow-assisted visual tracking using event cameras

Flow-assisted visual tracking using event cameras

         
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摘要

The data from event cameras not only portray contours of moving objects but also contain motion information inherently.Herein,motion information can be used in event-based and frame-based object trackers to ease the challenges of occluded objects and data association,respectively.In the event-based tracker,events within a short interval are accumulated.Within the interval,the histogram of local time measurements(or‘motion histogram’)is proposed as the feature to describe the target and candidate regions.Then the mean-shift tracking approach is used by shifting the tracker towards similarity maximisation on motion histograms between target and candidate regions.As for the frame-based tracker,given the assumption that a single object moves at a constant velocity on the image plane,the distribution of local timestamps is modelled,followed by which object-level velocities are obtained from parameter estimation.We then build a Kalman-based ensemble,in which object-level velocities are deemed as an additional measurement on top of object detection results.Experiments have been conducted to measure the performance of proposed trackers based on our self-collected data.Thanks to the assistance from motion information,the event-based tracker successfully differentiates partially overlapped objects with distinct motion profiles;The inter-frame tracker avoids data association failure on fast-moving objects and leads to fast convergence on object velocity estimation.

著录项

  • 来源
    《智能技术学报》 |2021年第2期|P.192-202|共11页
  • 作者

    Rui Jiang; Qinyi Wang; Shunshun Shi; Xiaozheng Mou; Shoushun Chen;

  • 作者单位

    CelePixel Technology Co.Ltd 71 Nanyang Drive Singapore 638075;

    CelePixel Technology Co.Ltd 71 Nanyang Drive Singapore 638075School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798;

    CelePixel Technology Co.Ltd 71 Nanyang Drive Singapore 638075;

    CelePixel Technology Co.Ltd 71 Nanyang Drive Singapore 638075;

    CelePixel Technology Co.Ltd 71 Nanyang Drive Singapore 638075School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 一般性问题;
  • 关键词

    shifting; similarity; ensemble;

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