Real-Time Motion Tracking and Counting via USB Webcam Image Acquisition

Implementation of real-time image acquisition using USB webcam, featuring motion object tracking and counting through median filtering for background extraction with dynamic updates. The video processing algorithm combines frame differencing and background subtraction techniques, delivering effective performance though limited in resolving object occlusion scenarios.

Image Saliency Detection: Algorithms and Implementation Approaches

With the rapid development of the internet and explosive growth of digital media data, we now possess information resources unparalleled in any previous era. Compared to textual information, digital images are more intuitive, realistic, and visually engaging. To efficiently extract valuable information from these visual data, computational vision technologies have become indispensable. Visual Saliency originates from human vision research, describing how certain elements in a scene attract visual attention. Human visual perception operates through two stages - a fast, bottom-up, saliency-driven task-agnostic phase and a slower, top-down, consciousness-driven task-oriented phase. This content explores computational methods for image saliency detection with technical implementations.

Arduino Communication Package for Analog and Digital Input Operations

This package enables communication with Arduino boards connected to your computer to perform analog and digital input operations through standardized MATLAB functions and data acquisition protocols.

PV Model Simulation Framework

A comprehensive Matlab-based PV model implementation featuring downloadable source code for local testing and performance validation