Fast, Automatic Detection of Independent Motion from Compressed Surveillance Video

Description:

Automated algorithm to detect independently moving objects. 

Technology Overview: 
 

An algorithm that automates qualitative surveillance video detection of independently moving objects in two modes:  (1) real-time (in combination with sensors) and (2) very fast scanning (faster than real-time play speed) of surveillance video database and retrieval of shots containing detected movement for further review by image analysts.  The approach overcomes technical hurdles associated with detecting independently moving objects with a camera that is itself in motion, i.e., not stationary.

 

https://binghamton.technologypublisher.com/files/sites/rb142-(2).jpg

https://www.pexels.com/photo/white-security-camera-776516/

 

 Advantages:  

  • Time-saving:  fast scanning speeds are accomplished by the application of computationally efficient algorithms which can scan compressed MPEG video at a speed much faster than a real time play speed.
  • Simplicity:  requires as few as two frames and only one uncalibrated video camera to detect any independently moving target.
  • Automated:  reduces manpower requirements and probability of operator error.

  

Intellectual Property Summary:


U.S. 7,595,817
U.S. 8,164,629
U.S. 8,773,536


Patent rights available for licensing 

 

 

 

 

 

Patent Information:
For Information, Contact:
Scott Hancock
Senior Director, Technology Transfer
Binghamton University
(607) 777-5874
shancock@binghamton.edu
Inventors:
Zhongfei Zhang
Keywords:
#SUNYresearch
Technologies
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