Video Analytics
Submission Deadline: Jun. 30, 2015
Lead Guest Editor
Sachin Ratikant Gengaje
Department of Electronics Engineering, Walchand Institute of Technology, Solapur, India
Guest Editors
  • Pratap Ravindra Sanap
    Otis ISRC, Pune, Maharashtra, India
  • S. P. Narote
    Department of Electronics and Telecommunication Engineering, Modern Education Society College of Engineering, Wadua Campus, Pune, Maharashtra, India
  • Mousami Vaibhav Munot
    Department of Electronics and Telecommunication, Pune Institute of Computer Technology, Pune, India
  • Lajari S. Alandkar
    Department of Electronics and Telecommunication, Sinhgad Institute of Technology and Science, Pune University, Pune, Maharashtra, India
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.
Video Analytics is a rapidly growing research area with development of algorithms and smart devices like cameras with capabilities to analyze videos that just a few years ago would have required human monitoring. Broadly, video analytics is the extraction of meaningful and relevant information from digital video. The state of the art research in video analytics builds upon research in computer vision, pattern analysis and machine intelligence, and spans several industry segments including surveillance, retail and transportation. It is also called Video Content Analysis (VCA) or Intelligent Video.

Similar to human vision, which has a perceptual and cognitive aspect, video analytics uses computer vision algorithms which enable it to perceive or see, and machine intelligence to interpret, learn and draw inferences. The goal of video analytics is scene understanding In addition to detecting foreground blobs in a video; analytics involves classifying objects/humans, understands the context around the objects/humans, and is able to track the objects/humans through the scene.

Intelligent Video Surveillance is one of the prime application areas of Video Analytics. Smart cameras / systems with analytics software continuously analyze video and can detect the presence of people and vehicles and interpret their activities. Suspicious activities such as loitering or moving into an unauthorized area are automatically flagged and forwarded to security personnel. The purpose of this special issue to motivate the research in algorithm development and smart devices used in Video Analytics.

Topic of interest includes but not limited to

1. Object detection
2. Object tracking
3. Object classification
4. Object recognition
5. Human motion analysis
6. Behavior and activity analysis
7. Content-based indexing and advanced video search
8. Various applications security, commercial, corporate and enterprise, transport solutions etc
9. Video Analytics and smart devices- Cameras, DVRs
10. Network architecture for video analytics
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