Vehicle Detection by Haar Cascades with OpenCV

Scene text detection and recognition based on Extremal Region(ER)

A binary library for very fast face detection using compact CNNs.

Viola-Jones face detection from scratch in WebAssembly

基于Qt框架的手势识别程序，其中主要是用到了Opencv中的训练算法！属于本科水平的小项目，没有太完善！后期有空再弄吧！😄

Detection of Cars from Video, Photo and Real Time

FRI (Face Recognition and Identification)

Affective EEG-Based Person Identification Using the Deep Learning Approach (IEEE Transactions on Cognitive and Developmental Systems)

The purpose of this project is to demonstrate the advantages of combining multiple CNNs to a common cascade structure. In contrast to training a single CNN only, the resulting classifier can be faster and more accurate at once. It can be used e.g. for the purpose of face detection.

Use OpenCV to count the number of occurrences of an object such faces or bananas

Traffic Management and Emergency Vehicle Detection using Decision Trees and OpenCV

Dice Scores Recognition in images and live video using CNN.

Codes of C++ & OpenCV This repository consists of a bunch of OpenCV programs written in C++, which includes Image Processing, Video I/O, Object Detection by MSE, Cascade Classifier and so on.

ObjectDetector uses OpenCV Haar cascade classifiers to detect different objects in images and videos with Python. For now, this repository includes my trained haar cascade classifier for detecting cars, the default haar cascade classifier for human faces (haarcascade_frontalface_default), a classifier for bananas from CodingRobin and a classifie…

OpenCV implementation of CCTV-like software that features human/object detection among other things, all with minimal resource requirements

A toolbox to simplify training, testing, and running HAAR/LBP cascades for object detection

A simple tool to create positive and negative samples for cascading classifiers.

Tensorflow Implementation of the cas2vec algorithm as described in the paper, "Network-Agnostic Cascade Prediction in Online Social Networks"

Images from an RGB-D camera are used to detect/classify objects in 2D, then detections are projected on the 3D point cloud.

Face Recognition Using Cascade Detectors & Facial Expression Classification Using CNN