Generalized Haar Filter-Based Object Detection for Car Sharing Services

	Generalized Haar Filter-Based Object Detection for Car Sharing Services
	Lu, Keyu; Li, Jian; Zhou, Li; Hu, Xiping; An, Xiangjing; He, Hangen
刊名	IEEE Transactions on Automation Science and Engineering
	2018
文献子类	期刊论文
英文摘要	Object detection is important in car sharing services. Accuracy, efficiency, and low memory consumption are desirable for object detection in car sharing services. This paper presents a network system that satisfies all these requirements. Our approach first divides the object detection task into multiple simpler local regression tasks. Then, we propose the generalized Haar filter-based convolutional neural network to reduce the consumption of memory and computing resource. To achieve real-time performance, we introduce a sparse window generation strategy to reduce the number of input image patches without sacrificing accuracy. We perform experiments on both vehicle and pedestrian data sets. Experimental results demonstrate that our approach can accurately detect objects under challenging conditions.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/13574]
专题	深圳先进技术研究院_集成所
推荐引用方式 GB/T 7714	Lu, Keyu,Li, Jian,Zhou, Li,et al. Generalized Haar Filter-Based Object Detection for Car Sharing Services[J]. IEEE Transactions on Automation Science and Engineering,2018.
APA	Lu, Keyu,Li, Jian,Zhou, Li,Hu, Xiping,An, Xiangjing,&He, Hangen.(2018).Generalized Haar Filter-Based Object Detection for Car Sharing Services.IEEE Transactions on Automation Science and Engineering.
MLA	Lu, Keyu,et al."Generalized Haar Filter-Based Object Detection for Car Sharing Services".IEEE Transactions on Automation Science and Engineering (2018).