C
Corneliu Toma
Researcher at Politehnica University of Timișoara
Publications - 15
Citations - 97
Corneliu Toma is an academic researcher from Politehnica University of Timișoara. The author has contributed to research in topics: Mean-shift & Image registration. The author has an hindex of 4, co-authored 15 publications receiving 89 citations.
Papers
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Journal ArticleDOI
A fast algorithm for background tracking in video surveillance, using nonparametric kernel density estimation
TL;DR: This paper proposes a new background subtraction technique, using multiresolution and recursive density estimation with mean shift based mode tracking, and an algorithm with complexity independent on N is developed for fast, real-timelementation.
Journal ArticleDOI
Computer aided diagnosis method for steatosis rating in ultrasound images using random forests
TL;DR: The ability and accuracy of RF to classify well the steatosis severity, without feature selection, were superior as compared to SVM.
Proceedings ArticleDOI
Using Registration Algorithms for Wireless Sensor Network Node Localization
TL;DR: This paper investigates the possibility of using image registration techniques to solve node localization problem in a wireless sensor network based on video sensors and adds video-field overlap estimation to classical spatial localization.
Proceedings ArticleDOI
Automatic evaluation of steatosis by ultrasound image analysis
TL;DR: It is found that a successive dichotomy approach using random forests leads to better diagnosis than simultaneous classification with random forests.
Fast and accurate background subtraction for video surveillance, using an adaptive mode -tracking algorithm
TL;DR: An improvement of the new algorithm is proposed, leading to faster background change tracking capability and more accurate background estimation, and to obtain real-time performance of the nonparametric estimator.