GitHub / cosmic-heart / Anomaly-Crime-Activity-Detection
Real Time Detection of Anomalous Activity From Videos (mainly crime actvity). Images of the video is trained using AutoEncoder to get the imtermediate feature representation of image & applied svm model for the bag of such features to detect the anomaly & LSTM to detect the type of Anomaly.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cosmic-heart%2FAnomaly-Crime-Activity-Detection
PURL: pkg:github/cosmic-heart/Anomaly-Crime-Activity-Detection
Stars: 24
Forks: 2
Open issues: 0
License: None
Language: Python
Size: 354 KB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: 6 months ago
Pushed at: over 2 years ago
Last synced at: 6 months ago
Topics: anomaly-detection, coat-net, crime-detection, deep-learning, docker, efficientnetv2, face-recognition, lrcn, lstm, machine-learning, python, pytorch, swim-transformer, video-detection, websocket