#object tracking

[prostheticknowledge]

Portable Lumipen

Latest project from Ishikawa Senoo Laboratory is the latest iteration of their incredibly fast projection mapping technology that can project on moving surfaces, now in a more portable form:

Portable Lumipen is a portable dynamic projection mapping system that tracks a target at 1,000fps with 3ms response time.

In recent years, projection mapping systems for dynamically moving targets have been proposed and this field is called "dynamic projection mapping." In Dynamic projection mapping, the moving target is tracked by a high-speed camera, and the projection is controlled at high speed. By achieving high responsiveness in sensing and feedback, these systems enable dynamic and immersive applications. However, they are not truly dynamic because the systems are fixed in a room.

In this reseach, we use a 3D-stacked vision chip and an optical gaze contoller and realize a portable dynamic projection mapping system. The 3D-stacked vision chip enables to omit a huge workstation and inefficient data transfer, and the optical gaze controller enables high-speed tracking shot and also tracking projection. The portable system enables a variety of applications including wearable user interface, projector-based makeup and combination with a drone, and this device will take projection mapping a step further.

More Here

[aidatasets]

High-quality image and video annotation is essential for training AI models that deliver accurate and reliable results. At GTS.AI, visual data is carefully labeled to help machines understand objects, actions, and complex contexts within images and videos. These services support core computer vision use cases such as object detection, tracking, segmentation, and facial analysis using well-structured face image datasets. With strict quality control and scalable workflows, datasets remain consistent and ready for advanced AI training. Precise video annotation further enhances model learning through frame-by-frame accuracy, enabling better motion understanding. This structured approach ensures stronger model performance, reduced errors, and dependable outcomes across real-world AI applications.

[machinelearningsite]

Want your computer to follow and monitor stuff around? Built this opencv object tracker with Python + OpenCV. Works well enough to brag about. #opencv #python

Mastering Object Tracking with OpenCV in Python: A Hands-On Guide

[nexgitspvtltd]

Empower your business with cutting-edge computer vision and object tracking expertise from Nexgits.

Explore custom solutions, real-time integration, and unparalleled support to transform ideas into reality. 

[nexgitspvtltd]

Exploring the complexities and advancements in real-time object tracking!  Dive into the challenges faced and the cutting-edge innovations revolutionizing this dynamic field.  

[vishw1903]

[learnopencv1]

YOLOv7 Object Detection Paper Explanation and Inference

A technical review of YOLOv7 paper along with inference report. YOLOv7 Pose detection code included.

YOLOv7 is a single-stage real-time object detector. It was introduced to the YOLO family in July’22. According to the YOLOv7 paper, it is the fastest and most accurate real-time object detector to date. YOLOv7 established a significant benchmark by taking its performance up a notch.

[deepinsightai-blog]

Webtunix team are able to perform real-time object recognition for image classification, video and image recognition tasks on artificial intelligence software.

Visual object tracking & object detection is used for a variety of applications like video editing, traffic control, medical imaging, tracking faces and eyes for human-computer vision. Webtunix is the best video object detection company.