The Transactions of the Korean Institute of Electrical Engineers P (전기학회논문지P)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on Multi Target Tracking using HOG and Kalman Filter

HOG와 칼만필터를 이용한 다중 표적 추적에 관한 연구

  • Seo, Chang-Jin (Dept. of National Defense Intelligence Engineering, Sangmyung University)
  • Received : 2015.08.03
  • Accepted : 2015.08.26
  • Published : 2015.09.01
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Abstract

Detecting human in images is a challenging task owing to their variable appearance and the wide range of poses the they can adopt. The first need is a robust feature set that allows the human form to be discriminated cleanly, even in cluttered background under difficult illumination. A large number of vision application rely on matching keypoints across images. These days, the deployment of vision algorithms on smart phones and embedded device with low memory and computation complexity has even upped the ante: the goal is to make descriptors faster compute, more compact while remaining robust scale, rotation and noise. In this paper we focus on improving the speed of pedestrian(walking person) detection using Histogram of Oriented Gradient(HOG) descriptors provide excellent performance and tracking using kalman filter.

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References

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