2010 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to vision systems for situational awareness, intelligent robotics and human-centered vehicle safety systems
1989 - SPIE Fellow
His main research concerns Artificial intelligence, Computer vision, Advanced driver assistance systems, Object detection and Robustness. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Pattern recognition. His study in Computer vision focuses on Image processing, Pose, Image segmentation, Stereopsis and Tracking.
His research investigates the connection with Image processing and areas like Shadow which intersect with concerns in Algorithm. His Advanced driver assistance systems research includes themes of Active safety, Simulation, Vehicle dynamics and Human–computer interaction. Mohan M. Trivedi combines subjects such as Pedestrian detection and Collision with his study of Object detection.
Mohan M. Trivedi spends much of his time researching Artificial intelligence, Computer vision, Human–computer interaction, Object detection and Advanced driver assistance systems. His studies in Artificial intelligence integrate themes in fields like Machine learning and Pattern recognition. Computer vision is a component of his Image processing, Tracking, Image segmentation, Machine vision and Segmentation studies.
Mohan M. Trivedi frequently studies issues relating to Visualization and Human–computer interaction. His Object detection research is included under the broader classification of Object. His work carried out in the field of Advanced driver assistance systems brings together such families of science as Active safety and Simulation.
His primary areas of study are Artificial intelligence, Computer vision, Trajectory, Machine learning and Gaze. His work on Pattern recognition expands to the thematically related Artificial intelligence. His research in Computer vision intersects with topics in Task and Motion planning.
His Trajectory research is multidisciplinary, relying on both Motion, Probabilistic logic, Pedestrian and Hidden Markov model. His study looks at the intersection of Pedestrian and topics like Pose with Human–computer interaction. His Gaze research is multidisciplinary, incorporating elements of Mode, Normalization and Dynamics.
Artificial intelligence, Computer vision, Trajectory, Feature extraction and Task are his primary areas of study. His biological study spans a wide range of topics, including Machine learning and Detector. His studies deal with areas such as Global Positioning System, Vehicle dynamics and Benchmark as well as Computer vision.
His work deals with themes such as Motion, Data mining, State, Probabilistic logic and Hidden Markov model, which intersect with Trajectory. His study looks at the relationship between Feature extraction and topics such as AdaBoost, which overlap with Vehicle detection. His Object detection study combines topics from a wide range of disciplines, such as Object-class detection, Viola–Jones object detection framework and Pattern recognition.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Head Pose Estimation in Computer Vision: A Survey
E. Murphy-Chutorian;M.M. Trivedi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation
J.C. McCall;M.M. Trivedi.
IEEE Transactions on Intelligent Transportation Systems (2006)
Detecting moving shadows: algorithms and evaluation
A. Prati;I. Mikic;M.M. Trivedi;R. Cucchiara.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)
Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis
Sayanan Sivaraman;Mohan Manubhai Trivedi.
IEEE Transactions on Intelligent Transportation Systems (2013)
Driving style recognition using a smartphone as a sensor platform
Derick A. Johnson;Mohan M. Trivedi.
international conference on intelligent transportation systems (2011)
Pedestrian Protection Systems: Issues, Survey, and Challenges
T. Gandhi;M.M. Trivedi.
IEEE Transactions on Intelligent Transportation Systems (2007)
A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance
B.T. Morris;M.M. Trivedi.
IEEE Transactions on Circuits and Systems for Video Technology (2008)
Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey
A. Mogelmose;M. M. Trivedi;T. B. Moeslund.
IEEE Transactions on Intelligent Transportation Systems (2012)
Human Body Model Acquisition and Tracking Using Voxel Data
Ivana Mikić;Mohan Trivedi;Edward Hunter;Pamela Cosman.
International Journal of Computer Vision (2003)
Segmentation of a High Resolution Urban Scene Using Texture Operators.
Richard W. Conners;Mohan M. Trivedi;Charles A. Harlow.
Graphical Models /graphical Models and Image Processing /computer Vision, Graphics, and Image Processing (1984)
Profile was last updated on December 6th, 2021.
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