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• OAI收割 [14]

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浏览/检索结果: 共14条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 From separate items to an integrated unit in visual working memory: Similarity chunking vs. configural grouping 期刊论文  OAI收割 COGNITION, 2022, 卷号: 225, 页码: 12 作者:  Zhang, Jiafeng;  Du, Feng   |  收藏  |  浏览/下载：23/0  |  提交时间：2022/08/22 Visual working memory  Similarity chunking  Kanizsa  Configural cue   Proposal-based visual tracking using spatial cascaded transformed region proposal network 期刊论文  OAI收割 Sensors (Switzerland), 2020, 卷号: 20, 期号: 17, 页码: 1-20 作者:  Zhang, Ximing;  Luo, Shujuan;  Fan, Xuewu   |  收藏  |  浏览/下载：29/0  |  提交时间：2020/10/16 visual tracking  spatial cascaded networks  shrinkage loss  multi-cue proposals re-ranking  region proposals networks   视觉工作记忆回溯线索效应的产生机制认知阶段分离 期刊论文  OAI收割 心理学报, 2020, 卷号: 52, 期号: 4, 页码: 399-413 作者:  叶超雄;  胡中华;  梁腾飞;  张加峰;  许茜如   |  收藏  |  浏览/下载：115/0  |  提交时间：2020/06/12 visual working memory  retro-cue effect  cognitive phase separation hypothesis  internal attention  recall task  视觉工作记忆  回溯线索效应  认知阶段分离假设  内部注意  回忆报告范式   Selectively Maintaining Object Features within Visual Working Memory: An ERP Study 会议论文  OAI收割 曲阜, 2017.7.2 作者:  Xiaowei Ding;  Kaifeng He;  Zaifeng Gao;  a, Mowei Shen   |  收藏  |  浏览/下载：45/0  |  提交时间：2017/12/28 Visual working memory  manipulation  retro-cue  highly-discriminable feature  fine-grained information   Decentralized Multisensory Information Integration in Neural Systems 期刊论文  OAI收割 JOURNAL OF NEUROSCIENCE, 2016, 卷号: 36, 期号: 2, 页码: 532-547 作者:  Zhang, WH;  Chen, AH;  Rasch, MJ;  Wu, S 收藏  |  浏览/下载：67/0  |  提交时间：2016/09/14 VENTRAL INTRAPARIETAL AREA  SPATIAL WORKING-MEMORY  SUPERIOR TEMPORAL AREA  NETWORK MODEL  POPULATION CODES  CUE INTEGRATION  VISUAL-CORTEX  BAYESIAN-INFERENCE  PARIETAL CORTEX  MACAQUE   Cooperative fusion particle filter tracker 期刊论文  OAI收割 SCIENCE CHINA-INFORMATION SCIENCES, 2014, 卷号: 57, 期号: 8 作者:  Wang LingFeng;  Yan HongPing;  Pan ChunHong 收藏  |  浏览/下载：34/0  |  提交时间：2015/08/12 visual tracking  multi-cue fusion  cooperative fusion  CoFPF-tracker  sum-tracker  product-tracker   Causal Links between Dorsal Medial Superior Temporal Area Neurons and Multisensory Heading Perception 期刊论文  OAI收割 JOURNAL OF NEUROSCIENCE, 2012, 卷号: 32, 期号: 7, 页码: 2299-2313 Gu, Yong; DeAngelis, Gregory C.; Angelaki, Dora E. 收藏  |  浏览/下载：43/0  |  提交时间：2012/07/13 VENTRAL INTRAPARIETAL AREA  PARIETOINSULAR VESTIBULAR CORTEX  VISUAL RESPONSE PROPERTIES  SELF-MOTION PERCEPTION  OPTIC FLOW STIMULI  MACAQUE MONKEY  MST NEURONS  ELECTRICAL MICROSTIMULATION  DEPTH-PERCEPTION  CUE INTEGRATION   Visual responses to contrast-defined contours with equally spatial-scaled carrier in cat area 18 期刊论文  OAI收割 BRAIN RESEARCH BULLETIN, 2011, 卷号: 86, 期号: 1-2, 页码: 97-105 Gou, Bin; Li, Yuhui; Li, Bing; 李兵 收藏  |  浏览/下载：17/0  |  提交时间：2013/12/25 Visual cortex  Illusory contours  Second-order cue  Form cue invariance  Spatiotemporal energy model   Color to Gray: Visual Cue Preservation 期刊论文  OAI收割 ieee transactions on pattern analysis and machine intelligence, 2010, 卷号: 32, 期号: 9, 页码: 1537-1552 作者:  Song, Mingli;  Tao, Dacheng;  Chen, Chun;  Li, Xuelong;  Chen, Chang Wen 收藏  |  浏览/下载：205/17  |  提交时间：2011/01/11 Color to gray  probabilistic graphical model  visual cue   Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文  OAI收割 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25 real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper  we combine intensity  orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting  etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity  orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time  we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter  partial occlusions  illumination change  and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels  it only needs 12ms to complete the method. 2007 IEEE.