This guide outlines a detailed process for setting up the hardware, configuring the software, and implementing Python-based object detection ... consistent detection across multiple frames.

ABSTRACT: One of the most basic and difficult areas of computer vision and image understanding applications is still object detection. Deep neural network models and enhanced object representation ...

Project is meant to provide a simple yet powerful baseline for multiple object tracking without the hassle of writing the obvious algorithm stack yourself. - tracking by detection paradigm ... on a ...

It is an object detection model working on a single frame at a time ... Sometimes the same person might be doing multiple activities like watching a person while standing. The model produces separate ...

It uses the improved Kalman filter algorithm to predict and track the detected dynamic objects ... to multiple additions and reductions of candidate areas. The schematic diagram is shown in Figure 6.

Abstract: The study of remote sensing image object detection has excellent ... First, we use the method of multiple receptive field feature map generation to convert the input feature map into four ...