Home /Research /Missing Object Detection and Tracking from Video Surveillance Camera Footage Based on Deep Learning Through Convolutional Gated Recurrent Neural Networks (CGRNN)

PERCEPTION

Missing Object Detection and Tracking from Video Surveillance Camera Footage Based on Deep Learning Through Convolutional Gated Recurrent Neural Networks (CGRNN)

A. Ayub Khan, R. S. Sabeenian

Year: 2025
Citations: 3

Keywords

Artificial intelligenceConvolutional neural networkComputer scienceComputer visionVideo trackingDeep learningTracking (education)Object detectionObject (grammar)Pattern recognition (psychology)

Missing Object Detection and Tracking from Video Surveillance Camera Footage Based on Deep Learning Through Convolutional Gated Recurrent Neural Networks (CGRNN)

Keywords

Related papers

Statistical Learning Theory

Artificial intelligence: a modern approach

Applied Nonlinear Control

A new optimizer using particle swarm theory