REVAMP2T
Real-Time Edge Video Analytics for Multi-Camera Pedestrian Tracking
REVAMP2T is an end-to-end scalable intelligent video surveillance system enabling privacy-aware multi-camera pedestrian tracking with real-time edge inference.
Key Features
- Real-time multi-camera pedestrian tracking on NVIDIA Jetson Xavier
- Privacy-aware analytics with on-device processing
- Detection, re-identification, pose estimation, and segmentation models
- 23 FPS for eight concurrent cameras at Full HD resolution
Publication
C. Neff, M. Mendieta, S. Mohan, M. Baharani, et al., “REVAMP2T: Real-Time Edge Video Analytics for Multicamera Privacy-Aware Pedestrian Tracking,” IEEE Internet of Things Journal, vol. 7, no. 4, pp. 2591-2602, 2019. (93 citations)
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