Video-based construction vehicles detection and its application in intelligent monitoring system
Video-based construction vehicles detection and its application in intelligent monitoring system作者机构：Shenzhen Key Lab. of Information Sci&Tech/Shenzhen Engineering Lab. of IS&DCP Department of Electronic Engineering/Graduate School at Shenzhen Tsinghua University China Shenzhen Municipal Planning & Land Realestate Information Center China
出 版 物：《CAAI Transactions on Intelligence Technology》 (智能技术学报（英文）)
年 卷 期：2016年第1卷第2期
页 面：162-172页
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：Natural Science Foundation of China Special Foundation for the Development of Strategic Emerging Industries of Shenzhen [JCYJ20150831192224146, JCYJ20150601165744635]
主 题：State-owned land protection Construction vehicle detection Hydraulic excavator detection Dump truck detection Inverse-V feature Intelligentmonitoring system
摘 要：While vehicle detection on highways has been reported before, to the best of our knowledge, intelligent monitoring system that aims at detecting hydraulic excavators and dump trucks on state-owned land has not been explored thoroughly yet. In this paper, we present an automatic, video-based algorithm for detecting hydraulic excavators and dump trucks. Derived from lessons learned from video processing, we proposed methods for foreground detection based on an improved frame difference algorithm, and then detected hydraulic excavators and dump trucks in the respective region of interest. From our analysis, we proposed methods based on inverse valley feature of mechanical arm and spatial-temporal reasoning for hydraulic excavator detection. In addition, we explored dump truck detection strategies that combine structured component projection with the spatial relationship. Experiments on real-monitoring sites demonstrated the promising performance of our system.
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