Feature Detection based on Haar Cascades in JavaScript (Viola-Jones-Lienhart et al Algorithm)

Viola-Jones face detection from scratch in WebAssembly

The face of a human is crucial for conveying identity. Computer scientists, Neuro scientists, and psychologists, all exploits this human feature using image processing techniques for commercial, and law enforcement applications. Likewise, this feature can be invited into classrooms to maintain records of students’ attendance. Con- temporary trad…

Training a face detection cascade using Adaptive Boosting after Viola and Jones.

This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.

A face detection program in python using Viola-Jones algorithm.

Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemented in OpenCV 3.3.0 and Python 2.7

A Voila-Jones face detector hardware implementation

A face detection algorithm using Viola-Jones' rapid object detection framework written in Julia

Gesture detect by viola-jones and cnn(based on opencv and caffe), able to detect and classify 5 kinds of pose, best 3ms/perframe on ARM-Firefly-RK3399

Viola-Jones face detector.

Feature Detection based on Haar Cascades in PHP (Viola-Jones-Lienhart et al Algorithm)

Detection algorithms and applications from famous papers; simple theory; solid code.

face detection using classical Viola-Jones method

Final Year Dissertation Project by Asis Rai

Various projects using Open CV

python implementation of the Viola-Jones algorithm in rapid face detection

Where all the state-of-the-art computer vision Algorithms meet

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.

Viola Jones Object Detection Framework in C