PDF-Robust and Efficient Foreground Analysis for Real-time Video Surveill
Author : debby-jeon | Published Date : 2016-06-06
changes and cannot handle shadows well A number of techniques have been developed to improve the performance of the mixture of Gaussians method 3 4 8 12 In this
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Robust and Efficient Foreground Analysis..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Robust and Efficient Foreground Analysis for Real-time Video Surveill: Transcript
changes and cannot handle shadows well A number of techniques have been developed to improve the performance of the mixture of Gaussians method 3 4 8 12 In this paper we employ a mixture of Ga. Aswin C Sankaranarayanan. Rice University. Richard G. . Baraniuk. Andrew E. Waters. Background subtraction in surveillance videos. s. tatic camera with foreground objects. r. ank 1 . background. s. parse. Adrian Liu, UC Berkeley. Vision. The . redshifted. 21cm line is possibly our only direct probe of . reionization. and the dark ages. 21cmFAST, . Mesinger. et al.. Current power spectrum limits from experiments like PAPER…. Video Background . S. ubtraction. 1. Motivation. In video action analysis, there . are . many popular . applications . like . surveillance for . security. , . home care. and . athletes action analysis. Waqas. . Sultani. , Imran . Saleemi. CVPR 2014. Motivation. Training. Testing. Accuracy (. avg. ). Dense STIP for cross dataset recognition. UCF50. UCF50. 70 %. UCF50. HMDB51. 55.7 %. Olympic Sports. 道陽. Jean-Lou Chameau Professor. Control. . and Dynamical Systems, EE, & . BioE. tech. 1. #. Ca. Universal laws . and architectures:. Theory and lessons from. brains, bugs,. . nets. , grids, . 2IN60: Real-time Architectures. (for automotive systems). Goals for this slide set. Describe the real-time scheduling model with all the relevant parameters. Explain the difference between . necessary. 1. Characteristics of Multimedia Data. Voluminous . — they demand very high data rates, possibly dozens or hundreds of Mbps.. Real-time and interactive . — they demand low delay and synchronization between audio and video for “lip sync”. In addition, applications such as video conferencing and interactive multimedia also require two-way traffic.. By. Dr. Amin Danial Asham. References. Real-time Systems Theory and Practice. . By . Rajib. mall. Hybrid Scheduler. In hybrid schedulers, the scheduling points are defined both through the clock interrupts and the event occurrences such as arrival and completion of tasks. Time-Sliced Round Robin Scheduling is a popular hybrid scheduler. . John Doyle, Caltech. Rethinking fundamentals*. Parameter estimation and goodness of fit measures for . fat tail. distributions. Hard limits . on robust, efficient networks integrating . comms. , controls, energy, materials. Systems. Dr. Sameh Abdelazim. Assistant Professor , The School of Computer Sciences and Engineering, Fairleigh Dickinson University. D. Santoro, M. . Arend. , F. . Moshary. , S. Ahmed. OUTLINE. Introduction. Fat tails, hard limits, thin layers John Doyle, Caltech Rethinking fundamentals* Parameter estimation and goodness of fit measures for fat tail distributions Hard limits on robust, efficient networks integrating John Doyle 道陽 Jean-Lou Chameau Professor Control and Dynamical Systems, EE, & BioE tech 1 # Ca Universal laws and architectures: Theory and lessons from flows, brains , hearts, cells, grids, nets Jinxia. Ma. November 7, 2013. Contents. What are robust methods. Why robust methods. How to conduct the robust methods analysis. Apply robust analysis to your data. What are “robust methods”?. Robust statistics. Introduction. Random walk hypothesis . The . efficient market hypothesis (EMH) . is an idea partly developed in the 1960s by Eugene . Fama. . . It is . an investment theory that states it is impossible to "beat the market" .
Download Document
Here is the link to download the presentation.
"Robust and Efficient Foreground Analysis for Real-time Video Surveill"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents