PDF--Car Suffocating Prevention Using Image Motion Detection IKHWAN H. MUH

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Recent Advances in Automatic Control Modelling and Simulation ISBN 9781618041777 145 of microwave sensor or the breathing motion of a human being for detection 67

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-Car Suffocating Prevention Using Image Motion Detection IKHWAN H. MUH: Transcript


Recent Advances in Automatic Control Modelling and Simulation ISBN 9781618041777 145 of microwave sensor or the breathing motion of a human being for detection 67 These multisensors metho. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. Shengyang Dai . and. Ying Wu. EECS Department, Northwestern University. NORTHWESTERN. UNIVERSITY. http. ://vision.middlebury.edu/flow. /. Baker, . Scharstein. , Lewis, Roth, Black, Szeliski, . ICCV’07. What affects the induced image motion?. Camera motion. Object motion. Scene structure. Example Flow Fields. This lesson – estimation of general flow-fields. Next lesson – constrained by global parametric transformations. State-of-the-art face detection demo. (Courtesy . Boris . Babenko. ). Face detection and recognition. Detection. Recognition. “Sally”. Consumer application: Apple . iPhoto. http://www.apple.com/ilife/iphoto/. Many slides adapted from S. Seitz, R. Szeliski, M. Pollefeys. Motion and perceptual organization. Sometimes, motion is the only cue. Motion and perceptual organization. Sometimes, motion is the only cue. 2011/12/08. Robot Detection. Robot Detection. Better Localization and Tracking. No Collisions with others. Goal. Robust . Robot . Detection. Long . Range. Short. . Range. Long Range. C. urrent . M. ethod. Shengyang Dai . and. Ying Wu. EECS Department, Northwestern University. NORTHWESTERN. UNIVERSITY. http. ://vision.middlebury.edu/flow. /. Baker, . Scharstein. , Lewis, Roth, Black, Szeliski, . ICCV’07. David K. Wittenberg, . Edin. . Kadric. , Andre . DeHon. , Jonathan Edwards, Jeffrey Smith, and . Silviu. . Chiricescu. The Problem – Wide Area Motion Imaging . (WAMI). Want real-time data. High resolution - 368 Cell phone cameras . Jacaqueta Davis. Brock Dickinson. Michael Ledet. Department of Computer Science and Industrial Technology. Southeastern Louisiana University. 500 W University Ave, Hammond, LA 70402. The objective of this project is to build a low cost motion detection device that will detect a human presence. . Source: D. Lowe, L. Fei-Fei. Canny edge detector. Filter image with x, y derivatives of Gaussian . Find magnitude and orientation of gradient. Non-maximum suppression:. Thin multi-pixel wide “ridges” down to single pixel width. Colors represent nature of change (. e.g. ., more or less greenness, . etc.. ). USGS Image. 2011 Minimum. 2011 Sea ice extent. NASA Video. Change Detection in Remote Sensing. Using multi-temporal satellite imagery to measure change. Christopher Chiarella. Vishal . Nagda. Sponsored by. Central Florida Inpatient Medicine. Motivation. Maximize time efficiency and productivity in a user’s daily routine. Be an unobtrusive technology system. Yonggang Cui. 1. , Zoe N. Gastelum. 2. , Ray Ren. 1. , Michael R. Smith. 2. , . Yuewei. Lin. 1. , Maikael A. Thomas. 2. , . Shinjae. Yoo. 1. , Warren Stern. 1. 1 . Brookhaven National Laboratory, Upton, USA. Applications. 报告人:程明明. 南开大学、计算机与控制工程学. 院. http://mmcheng.net/. Contents. Global . contrast based salient region . detection. ,. PAMI 2014. BING: Binarized Normed Gradients for Objectness Estimation at .

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