Vision Systems: Segmentation and Pattern Recognition
Goro Obinata,Ashish Dutta +1 more
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The article was published on 2007-06-01 and is currently open access. It has received 61 citations till now. The article focuses on the topics: Segmentation-based object categorization & Scale-space segmentation.read more
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Proceedings ArticleDOI
Unstructured human activity detection from RGBD images
TL;DR: This paper uses a RGBD sensor as the input sensor, and compute a set of features based on human pose and motion, as well as based on image and point-cloud information, based on a hierarchical maximum entropy Markov model (MEMM).
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Human Activity Detection from RGBD Images
TL;DR: This paper uses a RGBD sensor as the input sensor, and presents learning algorithms to infer the activities of a person based on a hierarchical maximum entropy Markov model (MEMM), and infers the two-layered graph structure using a dynamic programming approach.
Journal ArticleDOI
Histology image analysis for carcinoma detection and grading
TL;DR: An overview of the image analysis techniques in the domain of histopathology, specifically, for the objective of automated carcinoma detection and classification is presented and emphasis is given to state-of-the-art image segmentation methods for feature extraction and disease classification.
Proceedings Article
Human activity detection from RGBD images
TL;DR: In this article, a hierarchical maximum entropy Markov model (MEMM) is used to detect and recognize human activities in unstructured home settings, which is based on a RGBD sensor (Microsoft Kinect) as the input sensor and present learning algorithms to infer the activities.
Journal ArticleDOI
Wndchrm – an open source utility for biological image analysis
TL;DR: Using wndchrm can allow scientists to perform automated biological image analysis while avoiding the costly challenge of implementing computer vision and pattern recognition algorithms.