A one stop shop for all of your activity recognition needs.

An implementation of the LRCN in Torch

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.

Official Implementation of "Vision-based Behavioral Recognition of Novelty Preference in Pigs"

Support LRCN(both rgb and optical-flow). This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

I designed an intelligent system capable of analyzing movement within the videos and detecting suspicious movement that precedes the occurrence of shoplifting crimes. The proposed system can analyze the movement into two primary classifications: the natural movement, and the suspicious movement (with the percentage of each of them being determin…

Creating Custom Action Recognition Model using TensorFlow (CNN + LSTM)

Contains code for C3D, LCN and TSM for action recognition models.

The implementation of Long-term Recurrent Convolutional Network (LRCN), wide-n-deep NN, LSTM, SVM, LR, RF for drug resistance prediction.

A LSTM + CNN or LRCN model which recognises the action performed in a video.

Passageway classifier using monocular camera and LRCN