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Synesis multiple camera tracking video analytics performs television (CCTV) and thermal video analysis for all-weather detection of people, vehicles and debris on railways.
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IV All-Russia Theoretical and Practical Conference«Geographically Distributed Security System»
Deployment of video analyticsacross extended railway infrastructure
Nikolai Ptitsyn, Synesis LLC, [email protected]
Kaliningrad, Russia 22 – 24 March 2011
Oktabor’skaia railwayfrom Saint-Petersburg to Moscow
Monitoring railways: key objectives1. Objects People, vehicles, debris
2. Alert situations Object appearingObject stopping/loiteringAbandoned item/debrisVideo quality degradation
3. Strong noises Trains, shadows, precipitation
4. Response time Below 2 seconds
Project challengesPROBLEM SOLUTION
1. Automatic recognitionof alert situations
Video analyticsbased on the latest machine
vision findings
2. Efficient all-weather operations
Integratedthermal and television
surveillance system
3. Very extended installation(over 650 km / 400 miles)
Fully embeddedvideo analytics
4. False alarms caused by multiple detections per
person from multiple cameras
Multiple camera tracking video analytics
Edge equipment
1. Video analytics module with two CCTV cameras
2. Thermalcamera with
video analytics
Television and thermal video analytics combined
Video analytics encoder
ARM9: 365 MHzDSP С64x+: 720 MHzHDVICP (video co-processor)256 Mb RAM
CCTV video analytics
• People tracking range up to 80 meters
TRAIN IGNOREDPEOPLE DETECTED
Thermal camera with embedded
• Thermal sensor 384 * 288 @ 25 fps• Range up 800 meters with 100 mm lens
Video analytics modulefor thermal camera
PAL/NTSC decoderor HD sensor
People/debris detection on railways with thermal camera
• Surveillance range 100 to 800 meters• 7° (W) x 5° (H) for 100 mm lens
TRAIN IGNOREDPERSON DETECTED
Object surveillanceusing multiple sensors
CCTVcamera 1
CCTVcamera 2
Thermal cameraServer
Why multiple camera analytics?
1. Minimizes redundancy and false alerts while preserving all-whether sensitivity
2. Synchronizes television and thermal image3. Tracks objects from camera to camera for– Accurate object positioning on the maps– Automatic channel switching– Automatic angle of view suggesting– Map object searching
Multiple camera tracking testswith 9 CCTV cameras
Multiple camera trackingvideo analytics results
Trajectoryestimatedfrom fivecamera data
Project challengesPROBLEM SOLUTION
1. Automatic recognitionof alert situations
Video analyticsbased on the latest machine
vision findings
2. Efficient all-weather operations
Integratedthermal and television
surveillance system
3. Very extended installation(over 650 km / 400 miles)
Fully embeddedvideo analytics
4. False alarms caused by multiple detections per
person from multiple cameras
Multiple camera tracking video analytics
