T
Takeo Kanade
Researcher at Carnegie Mellon University
Publications - 800
Citations - 107709
Takeo Kanade is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Motion estimation & Image processing. The author has an hindex of 147, co-authored 799 publications receiving 103237 citations. Previous affiliations of Takeo Kanade include National Institute of Advanced Industrial Science and Technology & Hitachi.
Papers
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CareMedia: Automated Video and Sensor Analysis for Geriatric Care
TL;DR: An algorithm for dining activity analysis in a nursing home is described and a hidden Markov model is proposed to characterize different stages in dining activities with certain temporal order, which could be successful in assisting caregivers in assessments of resident's activity levels over time.
Journal ArticleDOI
Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance: Can We Learn Pedestrian Detectors and Pose Estimators Without Real Data?
Hironori Hattori,Hironori Hattori,Namhoon Lee,Namhoon Lee,Vishnu Naresh Boddeti,Vishnu Naresh Boddeti,Fares Beainy,Kris M. Kitani,Takeo Kanade +8 more
TL;DR: It is demonstrated that when real human annotated data is scarce or non-existent, the data generation strategy can provide an excellent solution for an array of tasks for human activity analysis including detection, pose estimation and segmentation.
Journal Article
Resolution-Aware Fitting of Active Appearance Models to Low Resolution Images
TL;DR: Experimental results show that RAF considerably improves the estimation accuracy of both shape and appearance parameters when fitting to low resolution data, and is compared against a state-of-the-art tracker.
Book ChapterDOI
Resolution-Aware fitting of active appearance models to low resolution images
TL;DR: In this article, a Gauss-Newton gradient descent algorithm is used to synthesize model instances as a function of estimated parameters and simulates the formation of low-resolution images in a digital camera.
Proceedings ArticleDOI
Automatic cell tracking applied to analysis of cell migration in wound healing assay
TL;DR: The cell tracking system can track individual cells during the healing process and provide detailed spatio-temporal measurements of cell behaviors, and demonstrates the effectiveness of automatic cell tracking for quantitative and detailed analysis of the cell behaviors in wound healing assay in vitro.