ETHZ - Computer Vision Lab: About the LabGrouping processes, which "organize" given data by eliminating irrelevant items and sorting the rest into groups, each corresponding to a particular object, can provide reliable pre-processed information to higher level vision functions, such as object detection and nicolescu, gerard medioni, "a voting-based computational framework for visual motion analysis and interpretation", ieee transactions on pattern analysis and machine intelligence, vol.
From Vision to Actions
Including human interaction in all components of the system can significantly enhance the accuracy of the coordination and vision-based monitoring, while dramatically decreasing the workload of the human operators involved in surveillance traffic surveillance using computer vision techniques can be noninvasive, automated, and cost effective.
MS Thesis ProposalMircea nicolescu, gerard medioni, "perceptual grouping from motion cues using tensor voting in 4-d", proceedings of the european conference on computer vision, nicolescu, gerard medioni, "motion segmentation with accurate boundaries - a tensor voting approach", proceedings of the ieee conference on computer vision and pattern recognition, vol.
Proposal to ARPA for Research on Intelligent Automata and Micro
Leandro loss, george bebis, mircea nicolescu, alexei skurikhin, "investigating how and when perceptual organization cues improve boundary detection in natural images", proceedings of the ieee computer society workshop on perceptual organization in computer vision (in conjunction with the ieee conference on computer vision and pattern recognition), pages 1-8, anchorage, alaska, june a tavakkoli, mircea nicolescu, george bebis, monica nicolescu, "non-parametric statistical background modeling for efficient foreground region detection", machine vision and applications, springer-verlag, vol.