Emerging non-volatile memories: Opportunities and challenges
In recent years, non-volatile memory (NVM) technologies have emerged as candidates for
future universal memory. NVMs generally have advantages such as low leakage power …
future universal memory. NVMs generally have advantages such as low leakage power …
A review of visual moving target tracking
Recently, computer vision and multimedia understanding become important research
domains in computer science. Meanwhile, visual tracking of moving target, one of most …
domains in computer science. Meanwhile, visual tracking of moving target, one of most …
Automated rock detection and shape analysis from Mars rover imagery and 3D point cloud data
K Di, Z Yue, Z Liu, S Wang - Journal of Earth Science, 2013 - Springer
A new object-oriented method has been developed for the extraction of Mars rocks from
Mars rover data. It is based on a combination of Mars rover imagery and 3D point cloud data …
Mars rover data. It is based on a combination of Mars rover imagery and 3D point cloud data …
Network processors: a perspective on market requirements, processor architectures and embedded S/W tools
PG Paulin, F Karim, P Bromley - … Design, Automation and Test …, 2001 - ieeexplore.ieee.org
With the projected explosion of low-cost bandwidth availability, the intensive processing
tasks and service hosting will move close to consumers on the" intelligent edge" of the …
tasks and service hosting will move close to consumers on the" intelligent edge" of the …
Multi‐scale mean shift tracking
W Yu, X Tian, Z Hou, Y Zha, Y Yang - IET Computer Vision, 2015 - Wiley Online Library
In this study, a three‐dimensional mean shift tracking algorithm, which combines the multi‐
scale model and background weighted spatial histogram, is proposed to address the …
scale model and background weighted spatial histogram, is proposed to address the …
A robust approach for multiple vehicles tracking using layered particle filter
Q Wei, Z **ong, C Li, Y Ouyang, H Sheng - AEU-international Journal of …, 2011 - Elsevier
Multiple vehicle targets tracking is one of the most challenging problems in Intelligent
Transportation Systems. It is used for recognizing and understanding vehicle behaviors …
Transportation Systems. It is used for recognizing and understanding vehicle behaviors …
[PDF][PDF] 基于帧间差分和运动估计的 Camshift 目标跟踪算法
邬大鹏, 程卫**, 于盛林 - 光电工程, 2010 - researching.cn
针对Camshift 算法无法适应目标的高速运动, 复杂背景和遮挡的局限性, 本文提出结合帧间差分
法和运动估计对Camshift 算法进行改进. 首先在颜色概率分布图计算中通过帧间差分法加入 …
法和运动估计对Camshift 算法进行改进. 首先在颜色概率分布图计算中通过帧间差分法加入 …
Mean-shift algorithm integrating with SURF for tracking
J Zhang, J Fang, J Lu - 2011 Seventh International Conference …, 2011 - ieeexplore.ieee.org
A new algorithm is proposed to solve the issue of dynamically changing tracking window
size in Mean-shift progress. Firstly, the algorithm detects feature points in the target area of …
size in Mean-shift progress. Firstly, the algorithm detects feature points in the target area of …
Object tracking with self-updating tracking window
H Qian, Y Mao, J Geng, Z Wang - Pacific-Asia Workshop on Intelligence …, 2007 - Springer
A basic requirement for a practical tracking system is to adjust the tracking model in real time
when the appearance of the tracked object changes. However, since the scale of the targets …
when the appearance of the tracked object changes. However, since the scale of the targets …
A Survey for target tracking on Meanshift algorithms
H Yao - 2021 IEEE International Conference on Consumer …, 2021 - ieeexplore.ieee.org
Target tracking has always been a key problem in the field of computer vision. The research
on target tracking algorithm is mainly divided into the research on generative model tracking …
on target tracking algorithm is mainly divided into the research on generative model tracking …