2010 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to image processing and pattern recognition in video surveillance systems
Gian Luca Foresti mainly investigates Artificial intelligence, Computer vision, Feature extraction, Object detection and Video tracking. His research in Artificial intelligence intersects with topics in Real-time computing, Data mining and Pattern recognition. His study in Data mining is interdisciplinary in nature, drawing from both Data stream clustering, Pattern clustering, Cluster analysis and k-medians clustering.
Gian Luca Foresti interconnects Smart camera, Machine learning, Image fusion and Biometrics in the investigation of issues within Feature extraction. The various areas that Gian Luca Foresti examines in his Object detection study include Database index, Edge detection and Information retrieval. His work in Video tracking covers topics such as Tracking system which are related to areas like 3D single-object recognition, Morphological skeleton and Trajectory clustering.
Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Object detection are his primary areas of study. His Artificial intelligence study focuses mostly on Feature extraction, Video tracking, Image processing, Feature and Sensor fusion. His Video tracking research is multidisciplinary, incorporating perspectives in Tracking system and Real-time computing.
He works mostly in the field of Computer vision, limiting it down to concerns involving Robustness and, occasionally, Algorithm. His research brings together the fields of Perceptron and Pattern recognition. Gian Luca Foresti has researched Machine learning in several fields, including Representation, Data mining and Benchmark.
His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Convolutional neural network and Machine learning. Artificial intelligence and Residual are commonly linked in his work. His Pattern recognition research integrates issues from Image and Spatial analysis.
His research on Computer vision frequently connects to adjacent areas such as Baseline. His studies deal with areas such as Speech recognition, Noise measurement, Direction of arrival and Reverberation as well as Convolutional neural network. His biological study deals with issues like Feature extraction, which deal with fields such as Discriminative model.
His main research concerns Artificial intelligence, Machine learning, Visualization, Pattern recognition and Algorithm. His Artificial intelligence research includes themes of Residual and Computer vision. His biological study spans a wide range of topics, including Mobile agent, Wireless sensor network and Acoustic emission.
When carried out as part of a general Machine learning research project, his work on Support vector machine is frequently linked to work in Association, therefore connecting diverse disciplines of study. His work carried out in the field of Visualization brings together such families of science as Visual inspection, Feature extraction, Task analysis and Vision based. His Pattern recognition study integrates concerns from other disciplines, such as Artificial neural network, Image, Narrowband and Reverberation.
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Trajectory-Based Anomalous Event Detection
C. Piciarelli;C. Micheloni;G.L. Foresti.
IEEE Transactions on Circuits and Systems for Video Technology (2008)
Ambient Intelligence: A New Multidisciplinary Paradigm
P. Remagnino;G.L. Foresti.
systems man and cybernetics (2005)
On-line trajectory clustering for anomalous events detection
C. Piciarelli;G. L. Foresti.
Pattern Recognition Letters (2006)
Object recognition and tracking for remote video surveillance
IEEE Transactions on Circuits and Systems for Video Technology (1999)
Active video-based surveillance system: the low-level image and video processing techniques needed for implementation
G.L. Foresti;C. Micheloni;L. Snidaro;P. Remagnino.
IEEE Signal Processing Magazine (2005)
A real-time system for video surveillance of unattended outdoor environments
IEEE Transactions on Circuits and Systems for Video Technology (1998)
Special issue on video communications, processing, and understanding for third generation surveillance systems
Carlo S. Regazzoni;Visvanathan Ramesh;Gian Luca Foresti.
Proceedings of the IEEE (2001)
A distributed probabilistic system for adaptive regulation of image processing parameters
V. Morino;G.L. Foresti;C.S. Regazzoni.
systems man and cybernetics (1996)
Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions
Gian Luca Foresti;Petri Mahonen;Carlo S. Regazzoni.
Wide-Slice Residual Networks for Food Recognition
Niki Martinel;Gian Luca Foresti;Christian Micheloni.
workshop on applications of computer vision (2018)
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