QQ客服 官方微博 反馈留言

	A refined object detection method based on HTM
	Liu, Hongye ; Zhao, Taiyin ; Wang, Yaowei ; Tian, Yonghong
	2015
英文摘要	Object detection plays a fundamental role in many content-based video systems. Often, it is still challenging to achieve both a reasonable accuracy and a fairly fast processing speed. In this paper, we propose a new object detection framework which utilizes raw RGB data from the pixel domain and some useful coding information from the compressed domain jointly. Firstly, various pixel-level detection algorithms can be embedded in our framework so as to obtain the preliminary results. Then by segmenting the moving regions from the background with the Hit-times Map (HTM), some false results can be removed and meanwhile the detection process can also be accelerated since the search area for sliding the detection window has been restricted to relatively small regions. After that, an additional regulation process is performed to further refine the preliminary detection results by employing both temporal consistency and spatial compactness in the motion vector(MV) field. The experimental results on two benchmark datasets show that the proposed method achieves a remarkable improvement both in detection accuracy and processing speed. ? 2014 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/VCIP.2014.7051512
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/294726]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liu, Hongye,Zhao, Taiyin,Wang, Yaowei,et al. A refined object detection method based on HTM. 2015-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。