8th Sem, ECE

VIdeo Analytics Ece 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective V)

VIdeo Analytics Ece 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective V) detail syllabus for Electronics And Communication Engineering (Ece), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (EC8010), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.

For all other ece 8th sem syllabus for be 2017 regulation anna univ you can visit Ece 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective V subjects do refer to Professional Elective V. The detail syllabus for video analytics is as follows.

Course Objective:

The student should be made:

  • To understand the need for video Analytics
  • To understand the basic configuration of video analytics
  • To understand the functional blocks of a video analytic system
  • To get exposed to the various applications of video analytics

Unit I

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Unit II

Foreground Extraction
Background estimation- Averaging- Gaussian Mixture Model- Optical Flow based- Image Segmentation- Region growing- Region splitting-Morphological operations- erosion-DilationTracking in a multiple camera environment

Unit III

Classifiers
Neural networks (back propagation) – Deep learning networks- Fuzzy Classifier- Bayesian classifier-HMM based classifier

Unit IV

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Unit V

Video Analytics for Business Intelligence and Traffic Monitiring and Assistance
Customer behavior analysis – people counting- Traffic rule violation detection- traffic congestion identification for route planning- driver assistance- lane change warning

Course Outcome:

At the end of the course, the student should be able to:

  • Design video analytic algorithms for security applications
  • Design video analytic algorithms for business intelligence
  • Design custom made video analytics system for the given target application

References:

  1. Graeme A. Jones (Editor), Nikos Paragios (Editor), Carlo S. Regazzoni (Editor) Video-Based Surveillance Systems: Computer Vision and Distributed Processing , Kluwer academic publisher, 2001
  2. Nilanjan Dey (Editor), Amira Ashour (Editor) and Suvojit Acharjee (Editor), Applied Video Processing in Surveillance and Monitoring Systems (IGI global) 2016
  3. Zhihao Chen (Author), Ye Yang (Author), Jingyu Xue (Author), Liping Ye (Author), Feng Guo (Author), The Next Generation of Video Surveillance and Video Analytics: The Unified Intelligent Video Analytics Suite, CreateSpace Independent Publishing Platform, 2014
  4. Caifeng Shan (Editor), Fatih Porikli (Editor), Tao Xiang (Editor), Shaogang Gong (Editor) Video Analytics for Business Intelligence, Springer, 2012

For detail syllabus of all other subjects of BE Ece, 2017 regulation do visit Ece 8th Sem syllabus for 2017 Regulation.

Dont forget to download iStudy for latest syllabus and results, class timetable and more.

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