benben0413 Goto Github PK

large-scale-multimedia-event-detection

The task is to perform multimedia event detection (MED) using the video and audio features

lc-elms

A Linear Combination Model-Based Ensemble Extreme Learning Machine

learnopencv

Learn OpenCV : C++ and Python Examples

lstm-anomaly-detect

Example code for neural-network-based anomaly detection of time-series data (uses LSTM)

lstm-autoencoder

TensorFlow LSTM-autoencoder implementation

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-fcn-ablation

Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

lstm-rcnn-pedestrian-detection

Pedestrian Detection with Faster R-CNN in TensorFlow

machine-learning-yearning-cn

MACHINE LEARNING YEARNING BY ANDREW NG

mil.pytorch

PyTorch implementation of Multiple-instance learning

ml-notes

台大李宏毅老师《机器学习》笔记，在线阅读地址：https://scarleatt.github.io/categories/ML-notes/

modified-tsvm

multiple-instance-learning

multiple-instance-learning-1

mypd

pedestrain detection based on tensorflow

nested_multi_instance_learning

online_pedestrian_sex_identification

A machine learning approach to identify sex of a pedestrian in a survelliance stream

opencv_contrib

Repository for OpenCV's extra modules

pedestrain-detection

pedestrian

Pedestrian Detection in Urban Environments Using Contour Based Detection

pedestrian-1

pedestrian-tracking

pedestriandetection

Real time Pedestrian Detector for a raspberry pi with camera. CSE237A Introduction to Embedded Computing Final Project

pedestriandetection-1

Pedestrian Detection with OpenCV

pedestriandetection-2

pedestriandetection-3

To compliment Aberystwyth University assignment for module CS34110: Could Histogram of Oriented Gradients (HOG) person detection be useful in self-driving cars? Screenshots will be taken to include in my report.

pedestriantracker

Tracking Pedestrians using HOG Features and a Particle Filter

pedestriantracking

特定行人简单场景下的连续跟踪算法

pedestriantracking-1

Pedestrian tracking using machine learning methods.