Feature Extraction for Human Body Detection
Implementation of feature extraction for human body detection using MATLAB, achieving good performance with potential for simple modifications and enhancements
Poselet: A Popular Algorithm for Human Body Detection and Pose Estimation
The Poselet algorithm, widely used for human body detection, can also be applied to general object detection with enhanced local feature recognition capabilities.
Human Detection Implementation Using K-Means Clustering Algorithm
Background modeling with Gaussian Mixture Models and real-time updates for enhanced human detection through K-means clustering
Human Body Detection MATLAB Program
MATLAB program for human body detection, primarily designed for processing the HumanEva dataset using advanced computer vision and machine learning techniques.
Human Detection Implementation Using K-Means Clustering Algorithm
Implementation of human detection through K-means clustering combined with Gaussian Mixture Model for robust background modeling
Motion-Based Human Detection
Motion-Based Human Detection with Background Modeling and Morphological Processing
Detection of Moving Human in Video Files
A Simple and Robust Approach for Detecting Moving Humans in Video Files