Titlebook: Computer Vision Systems; 6th International Co Antonios Gasteratos,Markus Vincze,John K. Tsotsos Conference proceedings 2008 Springer-Verlag

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書(shū)目名稱(chēng)Computer Vision Systems影響因子(影響力)




書(shū)目名稱(chēng)Computer Vision Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Computer Vision Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Computer Vision Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Computer Vision Systems被引頻次




書(shū)目名稱(chēng)Computer Vision Systems被引頻次學(xué)科排名




書(shū)目名稱(chēng)Computer Vision Systems年度引用




書(shū)目名稱(chēng)Computer Vision Systems年度引用學(xué)科排名




書(shū)目名稱(chēng)Computer Vision Systems讀者反饋




書(shū)目名稱(chēng)Computer Vision Systems讀者反饋學(xué)科排名

暗諷

3D Action Recognition and Long-Term Prediction of Human Motionm motion prediction. The 3D pose of the human hand-forearm limb is tracked over time with a multi-hypothesis Kalman Filter framework using the Multiocular Contracting Curve Density algorithm (MOCCD) as a 3D pose estimation method. A novel trajectory classification approach is introduced which relies

Expediency

Tracking of Human Hands and Faces through Probabilistic Fusion of Multiple Visual Cuesur previous research on color-based tracking and extends it towards building a system capable of distinguishing between human hands, faces and other skin-colored regions in the image background. To achieve these goals, the proposed approach allows the utilization of additional information cues inclu

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Eclampsia

Covert Attention with a Spiking Neural Network spike-timing rather than firing rate. We investigate the interests offered by such a temporal code for low-level vision and early attentional process. This paper describes a spiking neural network which achieves saliency extraction and stable attentional focus of a moving stimulus. Experimental res

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認(rèn)識(shí)

The SAFEE On-Board Threat Detection System for use onboard aircraft in spatially constrained environments. The techniques discussed herein aim to warn on-board crew about pre-determined indicators of threat intent (such as running or shouting in the cabin), as elicited from industry and security experts. The subject matter experts believe t

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