Weiming Hu mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Video tracking and Feature extraction. His research links Machine learning with Artificial intelligence. Weiming Hu has researched Pattern recognition in several fields, including Algorithm, Covariance matrix and Cluster analysis.
His studies deal with areas such as Visualization, Discriminative model, Eye tracking and Frame rate as well as Video tracking. His work carried out in the field of Feature extraction brings together such families of science as Classifier, Contextual image classification and Metric. His studies in Biometrics integrate themes in fields like Background subtraction, Shape analysis and Machine vision.
His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Video tracking and Feature extraction. His work in Artificial intelligence addresses issues such as Machine learning, which are connected to fields such as Benchmark. His Pattern recognition research integrates issues from Histogram, Feature, Data mining and Subspace topology.
His work is connected to Tracking, Pixel, Eye tracking, Object and Active appearance model, as a part of Computer vision. The Video tracking study combines topics in areas such as Particle filter, Segmentation, Graph embedding and Object detection. His Feature extraction research incorporates themes from Cognitive neuroscience of visual object recognition, Classifier, Feature learning, Visualization and Convolutional neural network.
His main research concerns Artificial intelligence, Computer vision, Video tracking, Pattern recognition and Feature extraction. His Artificial intelligence study is mostly concerned with Eye tracking, Segmentation, Object, Discriminative model and Robustness. In general Computer vision, his work in BitTorrent tracker, Tracking, Object detection and RGB color model is often linked to Source code linking many areas of study.
His Video tracking study combines topics from a wide range of disciplines, such as Embedding and Frame rate. His work on Convolutional neural network as part of general Pattern recognition study is frequently connected to Construct, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Feature extraction research focuses on Machine learning and how it relates to Closed captioning.
Artificial intelligence, Computer vision, Video tracking, Object and Pattern recognition are his primary areas of study. His Artificial intelligence study focuses mostly on Eye tracking, Feature learning, Segmentation, Robustness and Discriminative model. His Robustness study which covers Training set that intersects with Machine learning.
His research in Video tracking intersects with topics in Visualization and Frame rate. His work in Object covers topics such as Deep learning which are related to areas like Feature vector, Categorization and Theoretical computer science. His work on Sparse approximation as part of general Pattern recognition research is often related to Construct, thus linking different fields of science.
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A survey on visual surveillance of object motion and behaviors
Weiming Hu;Tieniu Tan;Liang Wang;S. Maybank.
systems man and cybernetics (2004)
The Visual Object Tracking VOT2016 Challenge Results
Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg.
european conference on computer vision (2016)
The Visual Object Tracking VOT2017 Challenge Results
Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg.
international conference on computer vision (2017)
Silhouette analysis-based gait recognition for human identification
Liang Wang;Tieniu Tan;Huazhong Ning;Weiming Hu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)
Recent developments in human motion analysis
Liang Wang;Weiming Hu;Tieniu Tan.
Pattern Recognition (2003)
The Visual Object Tracking VOT2013 Challenge Results
Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas.
international conference on computer vision (2013)
A survey of appearance models in visual object tracking
Xi Li;Weiming Hu;Chunhua Shen;Zhongfei Zhang.
ACM Transactions on Intelligent Systems and Technology (2013)
Distractor-aware Siamese Networks for Visual Object Tracking
Zheng Zhu;Qiang Wang;Bo Li;Wei Wu.
european conference on computer vision (2018)
A Survey on Visual Content-Based Video Indexing and Retrieval
Weiming Hu;Nianhua Xie;Li Li;Xianglin Zeng.
systems man and cybernetics (2011)
Fast Online Object Tracking and Segmentation: A Unifying Approach
Qiang Wang;Li Zhang;Luca Bertinetto;Weiming Hu.
computer vision and pattern recognition (2019)
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