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Security Surveillance System

Jeanette Miranda Continuing work by Peter Schiffman and Zac Kelton May 17, 2013 ENGN256: Computer Vision

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Indoor Security Surveillance System

 One static webcam   Background Motion detection and location  Pan, tilt, zoom network camera   Correlation of motion in static webcam feed to motion in ptz feed Track most important motion

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Background, Motion detection and location

 Both largely the same as mid project presentation  Background   Ability to capture clean background image for testing Grayscale background image  Motion detection and location  Varying number of objects to track dependent on threshold at pixel level  Absolute difference between current frame and current background  Apply threshold  Morphological operators to clean up mask

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Camera Calibration

 SURF Feature Detector with FLANN (Fast Library for Approximate Nearest Neighbors) based matcher  Center of motion for ip camera from center of feature points that match to within bounding box of motion on static camera  Experimented with 2D homography – unsuccessful results  Limit on how far center of motion for ip camera can move per frame  For ip camera to move, need to be minimum distance away from center (prevent shutter)

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Network Camera

From spec sheet available at: http://www.123securityproducts.com/pz8111w.html

 LAN – NETGEAR Fast Ethernet Switch (FS105) between laptop and network camera  Web API for pan, tilt, zoom, mjpg video stream, etc

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Screenshots

Static Camera (white rectangle bounding box of motion) IP Camera (white circle center of motion)

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Screenshots

Static Camera (white rectangle bounding box of motion) IP Camera (white circle center of motion)

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Code

 Multithreaded implementation in C++  Motion detection and background generation can do more intensive computation, and then skip frames to compensate  Libraries (opensource):    Opencv: http://code.opencv.org/projects/opencv/wiki CVBlob: https://code.google.com/p/cvblob/ cURLpp: https://code.google.com/p/curlpp/  Available on GitHub (currently only tested on OSx)  https://github.com/jcmiranda/SurveillanceSystem

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Future Directions

 More robust motion detection for static camera  More exploration of different approaches to camera calibration      Exploiting knowledge of when the camera moves 3d calibration rig – opencv support for chessboard?

Fast motion location on ip camera feed without background to supplement matching?

Continuity of motion path Tuning delays between moves and minimum offset necessary to cause a move