Generalized Haar Filter-Based Object Detection for Car Sharing Services
文献类型：期刊论文
| 作者 | Lu, Keyu; Li, Jian; Zhou, Li; Hu, Xiping; An, Xiangjing; He, Hangen |
| 刊名 | IEEE Transactions on Automation Science and Engineering
 |
| 出版日期 | 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 |
| 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). |
入库方式： OAI收割
来源：深圳先进技术研究院
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