Computational Approaches to Detect Human in Multifaceted Environmental Conditions Using Computer Vision and Machine Intelligence – A review

Gaytri Bakshi, A. Aggarwal
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Abstract

Human detection is a very significant research problem in different arenas depending upon the adopted application. The main motivation that dominated the area are related to security and natural disasters. Considering the varying wide geographical area of the earth comprising of different countries with mountains, plains, deserts, plateaus and strong river system supporting the human civilization, there are problems dealing with the security system as well as ruining the normal day-to-day life with upcoming natural calamities. To tackle both the major issues with the growing technology and to serve the humanity, specific scientific, automatic, mechanically robust systems have been developed which intelligently provide solutions by detecting the upcoming problems. This paper depicts a study on various aspects on environmental and climatic conditions that could affect human detection and researchers’ endeavors to achieve results with utmost accuracy.
利用计算机视觉和机器智能在多面环境条件下检测人类的计算方法综述
根据不同的应用领域,人体检测是一个非常重要的研究问题。在该地区占主导地位的主要动机与安全和自然灾害有关。考虑到地球上由不同国家组成的不同地理区域,山脉,平原,沙漠,高原和强大的河流系统支撑着人类文明,存在着安全系统的问题,以及即将到来的自然灾害破坏了正常的日常生活。为了解决科技发展带来的重大问题和服务于人类,专门的科学、自动化、机械健壮的系统被开发出来,通过检测即将出现的问题,智能地提供解决方案。本文描述了一项关于环境和气候条件的各个方面的研究,这些方面可能影响人类检测和研究人员努力以最大的准确性获得结果。
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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