中国科学院机构知识库网格系统: 检索

Multi-level processing of emotions in life motion signals revealed through pupil responses 期刊论文 OAI收割
ELIFE, 2024, 卷号: 12, 页码: 19
作者: Yuan, Tian; Wang, Li; Jiang, Yi

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收藏 | 浏览/下载：47/0 | 提交时间：2024/11/26

pupil size biological motion emotion processing local Human

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文 OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
作者: Fan, Bin; Kong, Qingqun; Wang, Xinchao; Wang, Zhiheng; Xiang, Shiming

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收藏 | 浏览/下载：89/0 | 提交时间：2019/12/16

Local feature image reconstruction structure from motion (SFM) 3D vision image matching

Distinct Aging Effects on Motion Repulsion and Surround Suppression in Humans 期刊论文 OAI收割
FRONTIERS IN AGING NEUROSCIENCE, 2017, 卷号: 9, 期号: 0, 页码: 1-8
作者: Deng, Hu; Chen, Weiying; Kuang, Shenbing; Zhang, Tao

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收藏 | 浏览/下载：44/0 | 提交时间：2017/12/18

Aging Motion Repulsion Surround Suppression Local Mutual Inhibition Global Inter-areal Inhibition

Realtime Style Transfer for Unlabeled Heterogeneous Human Motion 期刊论文 OAI收割
ACM TRANSACTIONS ON GRAPHICS, 2015, 卷号: 34, 期号: 4, 页码: 10
作者: Xia, Shihong; Wang, Congyi; Chai, Jinxiang; Hodgins, Jessica

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收藏 | 浏览/下载：49/0 | 提交时间：2019/12/13

Character animation realtime style transfer online local regression data-driven motion synthesis

Micro-Expression Recognition Using Robust Principal Component Analysis and Local Spatiotemporal Directional Features 会议论文 OAI收割
Zurich, SWITZERLAND, SEP 06-12, 2014
作者: Su-Jing Wang; Wen-Jing Yan; Guoying Zhao; Xiaolan Fu; Chun-Guang Zhou

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收藏 | 浏览/下载：43/0 | 提交时间：2018/08/20

Micro-expression Recognition Sparse Representation Dynamic Features Local Binary Pattern Subtle Motion Extraction

The feet have it: Local biological motion cues trigger reflexive attentional orienting in the brain 期刊论文 OAI收割
NEUROIMAGE, 2014, 卷号: 84, 页码: 217-224
作者: Wang, Li; Yang, Xiaoying; Shi, Jinfu; Jiang, Yi

收藏 | 浏览/下载：33/0 | 提交时间：2015/09/18

Reflexive attention Biological motion Local ERP

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：64/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Searching for Life Motion Signals: Visual Search Asymmetry in Local but Not Global Biological-Motion Processing 期刊论文 OAI收割
PSYCHOLOGICAL SCIENCE, 2010, 卷号: 21, 期号: 8, 页码: 1083-1089
作者: Wang, Li; Zhang, Kan; He, Sheng; Jiang, Yi

收藏 | 浏览/下载：32/0 | 提交时间：2015/09/17

visual search biological motion local global attention

Parallel estimation of translation for video stabilization (EI CONFERENCE) 会议论文 OAI收割
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
作者: Wang H.; Liu G.; Wang H.; Wang H.; Wang H.

收藏 | 浏览/下载：102/0 | 提交时间：2013/03/25

Translation motion estimation is the major aspect of video motion compensation especially in two-dimensional turntable. This paper presents a robust parallel estimation algorithm of translation in video stabilization system. The equivalent model of translation that derived is accorded with small rotation angle comparatively. A parallel algorithm based on grey mapping is used in local motion estimation to shorten the estimation time and improve the computation efficiency. After local motion vectors are calculated a fast filter can detect the spurious vectors avoiding possible jerks. The suggested translation estimation algorithm has been implemented on NVIDIA GTX 260 the experimental results show that the average time of the estimation and compensation finished in 16 ms/frame and stabilize 1k1k pixels sequence gray video up to 60 frames/s. 2010 IEEE.

Searching for life motion signals: Visual search asymmetry in local but not global biological motion processing 期刊论文 OAI收割
PSYCHOLOGICAL SCIENCE, 2010, 卷号: 21, 期号: 8, 页码: 1083-1089
作者: Wang L.; Zhang K.; He S.; Jiang Y.; Jiang Y(蒋毅)

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收藏 | 浏览/下载：19/0 | 提交时间：2011/12/02

visual search biological motion local global attention