Implementation of a Single Human Detection Algorithm for Video Digital Door Lock

Seung-Hwan Shin, Sang-Rak Lee, Han-Go Choi
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Abstract

Video digital door lock(VDDL) system detects people who access to the door and acquires the human image. Design considerations is that current consumption must be minimized by applying fast human detection algorithm because of battery-based operation. Since the digital door lock takes an image through a fixed camera, detection of a person based on background image leads to high degree of reliability. This paper deals with a single human detection algorithm suitable for VDDL with fulfilling these requirements such that it detects a moving object in an image, then identifies whether the object is a person or not using image processing. The proposed image processing algorithm consists of two steps: Firstly, it detects the human image region using both background image and skin color information. Secondly, it identifies the person using polar histogram based on proportional information of human body. Proposed algorithm is implemented in VDDL and is verified the performance through experiments.
视频数字门锁单人检测算法的实现
视频数字门锁(VDDL)系统检测出入门的人,获取人的图像。设计考虑的是,由于基于电池的操作,必须通过应用快速的人工检测算法来最小化电流消耗。由于数字门锁是通过固定摄像头拍摄图像,因此基于背景图像检测人的可靠性很高。本文研究了一种适合于VDDL的单人检测算法,该算法可以满足这些要求,即检测图像中的运动物体,然后通过图像处理来识别该物体是否是人。本文提出的图像处理算法包括两个步骤:首先,利用背景图像和肤色信息检测人体图像区域;其次,基于人体比例信息,利用极坐标直方图进行人物识别;在VDDL中实现了该算法,并通过实验验证了算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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