Cascade method for image processing based people detection and counting

Zeyad Al-Zaydi, David Lorater Ndzi, David Adrian Sanders

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

People detection is of great importance in video surveillance. Different approaches have been proposed to achieve accurate detection system. The main problem in people detection systems is that it must maintain a balance between the number of false detections and the number of missing people which limits the global detection results. In order to solve this problem and add robustness to detection, we propose a multiplexor and collector model composed of multiple independent detectors. This model is used to keep the true positive detections provided by a number of detectors and reduce the miss rate. In addition, a fusion model is proposed to check the robustness of the cascaded detection system. A pipeline techniques will also be used to avoid the increasing of detection time.
Original languageEnglish
Title of host publicationInt’l Conference Proceedings of International Conference on Image Processing, Production and Computer Science (ICIPCS'2016)
Subtitle of host publicationMarch 26-27, 2016 London (UK)
EditorsOsama Mohamed Mohamed Ahamed, Abhay Saxena
PublisherUniversal Researchers in Civil and Architecture Engineering
Pages30-36
Number of pages7
ISBN (Print)978-93-84422-71-4
DOIs
Publication statusPublished - 1 Mar 2016
Externally publishedYes

Fingerprint

Image processing
Detectors
Fusion reactions
Pipelines

Keywords

  • people detection, counting, surveillance systems, image processing, computer vision

Cite this

Al-Zaydi, Z., Ndzi, D. L., & Sanders, D. A. (2016). Cascade method for image processing based people detection and counting. In O. M. M. Ahamed, & A. Saxena (Eds.), Int’l Conference Proceedings of International Conference on Image Processing, Production and Computer Science (ICIPCS'2016): March 26-27, 2016 London (UK) (pp. 30-36). Universal Researchers in Civil and Architecture Engineering. https://doi.org/10.17758/UR.U0316014
Al-Zaydi, Zeyad ; Ndzi, David Lorater ; Sanders, David Adrian. / Cascade method for image processing based people detection and counting. Int’l Conference Proceedings of International Conference on Image Processing, Production and Computer Science (ICIPCS'2016): March 26-27, 2016 London (UK). editor / Osama Mohamed Mohamed Ahamed ; Abhay Saxena. Universal Researchers in Civil and Architecture Engineering, 2016. pp. 30-36
@inbook{29ecb98931a641c9bf2bb1dc30470fe6,
title = "Cascade method for image processing based people detection and counting",
abstract = "People detection is of great importance in video surveillance. Different approaches have been proposed to achieve accurate detection system. The main problem in people detection systems is that it must maintain a balance between the number of false detections and the number of missing people which limits the global detection results. In order to solve this problem and add robustness to detection, we propose a multiplexor and collector model composed of multiple independent detectors. This model is used to keep the true positive detections provided by a number of detectors and reduce the miss rate. In addition, a fusion model is proposed to check the robustness of the cascaded detection system. A pipeline techniques will also be used to avoid the increasing of detection time.",
keywords = "people detection, counting, surveillance systems, image processing, computer vision",
author = "Zeyad Al-Zaydi and Ndzi, {David Lorater} and Sanders, {David Adrian}",
year = "2016",
month = "3",
day = "1",
doi = "10.17758/UR.U0316014",
language = "English",
isbn = "978-93-84422-71-4",
pages = "30--36",
editor = "Ahamed, {Osama Mohamed Mohamed} and Abhay Saxena",
booktitle = "Int’l Conference Proceedings of International Conference on Image Processing, Production and Computer Science (ICIPCS'2016)",
publisher = "Universal Researchers in Civil and Architecture Engineering",
address = "Tunisia",

}

Al-Zaydi, Z, Ndzi, DL & Sanders, DA 2016, Cascade method for image processing based people detection and counting. in OMM Ahamed & A Saxena (eds), Int’l Conference Proceedings of International Conference on Image Processing, Production and Computer Science (ICIPCS'2016): March 26-27, 2016 London (UK). Universal Researchers in Civil and Architecture Engineering, pp. 30-36. https://doi.org/10.17758/UR.U0316014

Cascade method for image processing based people detection and counting. / Al-Zaydi, Zeyad; Ndzi, David Lorater; Sanders, David Adrian.

Int’l Conference Proceedings of International Conference on Image Processing, Production and Computer Science (ICIPCS'2016): March 26-27, 2016 London (UK). ed. / Osama Mohamed Mohamed Ahamed; Abhay Saxena. Universal Researchers in Civil and Architecture Engineering, 2016. p. 30-36.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Cascade method for image processing based people detection and counting

AU - Al-Zaydi, Zeyad

AU - Ndzi, David Lorater

AU - Sanders, David Adrian

PY - 2016/3/1

Y1 - 2016/3/1

N2 - People detection is of great importance in video surveillance. Different approaches have been proposed to achieve accurate detection system. The main problem in people detection systems is that it must maintain a balance between the number of false detections and the number of missing people which limits the global detection results. In order to solve this problem and add robustness to detection, we propose a multiplexor and collector model composed of multiple independent detectors. This model is used to keep the true positive detections provided by a number of detectors and reduce the miss rate. In addition, a fusion model is proposed to check the robustness of the cascaded detection system. A pipeline techniques will also be used to avoid the increasing of detection time.

AB - People detection is of great importance in video surveillance. Different approaches have been proposed to achieve accurate detection system. The main problem in people detection systems is that it must maintain a balance between the number of false detections and the number of missing people which limits the global detection results. In order to solve this problem and add robustness to detection, we propose a multiplexor and collector model composed of multiple independent detectors. This model is used to keep the true positive detections provided by a number of detectors and reduce the miss rate. In addition, a fusion model is proposed to check the robustness of the cascaded detection system. A pipeline techniques will also be used to avoid the increasing of detection time.

KW - people detection, counting, surveillance systems, image processing, computer vision

U2 - 10.17758/UR.U0316014

DO - 10.17758/UR.U0316014

M3 - Chapter

SN - 978-93-84422-71-4

SP - 30

EP - 36

BT - Int’l Conference Proceedings of International Conference on Image Processing, Production and Computer Science (ICIPCS'2016)

A2 - Ahamed, Osama Mohamed Mohamed

A2 - Saxena, Abhay

PB - Universal Researchers in Civil and Architecture Engineering

ER -

Al-Zaydi Z, Ndzi DL, Sanders DA. Cascade method for image processing based people detection and counting. In Ahamed OMM, Saxena A, editors, Int’l Conference Proceedings of International Conference on Image Processing, Production and Computer Science (ICIPCS'2016): March 26-27, 2016 London (UK). Universal Researchers in Civil and Architecture Engineering. 2016. p. 30-36 https://doi.org/10.17758/UR.U0316014