Head detection and tracking using OpenCV

Added Title

IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (10th : 2018)
HNICEM 2018

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018

Publication Date

3-12-2019

Abstract

Head detection and tracking has become a significant factor in image processing for the past few years due to its many applications in the field of computer vision. It can play a vital role in a surveillance system. In this paper, the researchers familiarizes and exposes themselves with OpenCV. OpenCV is an open source computer vision library that is written in C and C++. OpenCV is designed for computational efficiency, more-so on real-time applications. Its applications include, facial recognition system, gesture recognition, object detection, segmentation and recognition, motion understanding, and more. This study is part of a bigger research which involves facial recognition implemented in a CCTV system. First the group aims to have a deeper knowledge and understanding about head detection and tracking using OpenCV. The system will utilize head detection using Haar-like features, Haar Training, Concensus-based Matching and Tracking Keypoints (CMT). © 2018 IEEE.

html

Digitial Object Identifier (DOI)

10.1109/HNICEM.2018.8666374

Disciplines

Electrical and Electronics | Systems and Communications

Keywords

OpenCV (Computer program language)

Upload File

wf_yes

This document is currently not available here.

Share

COinS