Each module in the system ranging from image enhancement and semantic segmentation to detection, tracking, counting, trajectory prediction, and vehicle classification is individually optimized using ...

Over the recent years, there has been a growing interest in class-incremental 3D object detection based on point clouds. However, the current state-of-the-art (SOTA) methods still fall short of ...

I propose to add a utility class named ObjectDetection under a new or existing module (e.g., objdetect) in OpenCV that simplifies the pipeline for: Running object detection using a provided model Many ...

Researchers introduced a novel method for fabricating functional flat-to-shape objects using a computer-controlled sewing machine. The team's method uses the sewing machine to stitch pockets ...

This Python code implements real-time object detection using the Single Shot MultiBox Detector (SSD) MobileNet v3 model and OpenCV. It can identify and visualize objects from a predefined set of ...

The system is comprised of the following subsystems – Image Capture Subsystem, Image Processing Subsystem, Model Creation Subsystem, Object-of-Interest Detection Subsystem and System Evaluation ...

Object detection has been attracting much interest due to the wide spectrum of applications that use it. Object detection technology has been driven by an increasing processing power available in ...