University of Sussex
Browse
Proc._SPIE_Video_Surveillance_and_Transportation_Imaging_Applications__2014_Hassan.pdf (6.03 MB)

PHACT: parallel HOG and correlation tracking

Download (6.03 MB)
conference contribution
posted on 2023-06-08, 19:04 authored by Waqas Hassan, Phil BirchPhil Birch, Rupert YoungRupert Young, Chris ChatwinChris Chatwin
Histogram of Oriented Gradients (HOG) based methods for the detection of humans have become one of the most reliable methods of detecting pedestrians with a single passive imaging camera. However, they are not 100 percent reliable. This paper presents an improved tracker for the monitoring of pedestrians within images. The Parallel HOG and Correlation Tracking (PHACT) algorithm utilises self learning to overcome the drifting problem. A detection algorithm that utilises HOG features runs in parallel to an adaptive and stateful correlator. The combination of both acting in a cascade provides a much more robust tracker than the two components separately could produce. © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Proceedings of IS&T / SPIE on Electronic Imaging: Video Surveillance and Transportation Imaging Applications; San Francisco, California, USA; 3-5 February 2014

ISSN

0277-786X

Publisher

Society of Photo Optical Instrumentation Engineers / Society for Imaging Science and Technology

Volume

9026

Page range

2

ISBN

9780819499431

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Industrial Informatics and Signal Processing Research Group Publications

Notes

Copyright (2014) Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Full text available

  • Yes

Peer reviewed?

  • Yes

Editors

Robert P Loce, Eli Saber

Legacy Posted Date

2014-11-11

First Open Access (FOA) Date

2017-06-26

First Compliant Deposit (FCD) Date

2017-06-26

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC