A one stop shop for all of your activity recognition needs.
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Updated
May 24, 2019 - Python
A one stop shop for all of your activity recognition needs.
An implementation of the LRCN in Torch
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
Official Implementation of "Vision-based Behavioral Recognition of Novelty Preference in Pigs"
Contains code for C3D, LCN and TSM for action recognition models.
Creating Custom Action Recognition Model using TensorFlow (CNN + LSTM)
The implementation of Long-term Recurrent Convolutional Network (LRCN), wide-n-deep NN, LSTM, SVM, LR, RF for drug resistance prediction.
Detection of Anomalous Activity from video (mainly crime actvity). Images of the video is trained to AutoEncoder toe get the imtermediate feature representation of image & appliend svm model for the bag of features to detect the anomaly & LSTM to detect the type of Anomaly.
Human Action Recognition with ConvLSTM and LRCN
A LSTM + CNN or LRCN model which recognises the action performed in a video.
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…
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