Abstract: Semantic Edge Segmentation (SED) is crucial for intelligent agents to understand and interact with their environments, as it enables them to locate and recognize semantic boundaries. The ...
Functionality: It will take a video file (or webcam feed) and highlight regions of motion by calculating the absolute difference between the current frame and a reference/background frame. Relevance: ...
A real-time edge detection viewer that captures camera frames, processes them using OpenCV in C++, and displays the processed output using OpenGL ES. Includes a TypeScript web viewer for demonstration ...
Abstract: Accurate detection of vulnerable targets in urban road surveillance videos is crucial in intelligent transportation systems widely used in urban roads. Since the features of vulnerable ...
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