The proposed system redefines smart livestock farming by eliminating the need for wearable devices and manual observation.

(Purdue University photo/Yuxuan Liu) Wei Xu, a Purdue electrical and computer engineering doctoral student, said the working prototype of CT-Bound achieves real-time boundary detection under ...

Traditional object detection algorithms, including both two-stage models like Faster R-CNN and one-stage variants such as ...

Abstract: Real-time object detection has always been a broad, dynamic, and challenging domain within computer vision. Image localization entails identifying a singular object within an image, while ...

fast inference and robust object detection capabilities with better global context modeling. This raises many interesting questions, such as whether it can perform better on real-world problems such ...

It's designed for real-time object detection and tracking in video streams, using YOLOv8 for detection and ByteTrack for multi-object tracking. It is suitable for tracking objects in video footage, ...

Abstract: Object detection is a crucial task in both computer vision and remote sensing. The performance of object detectors can vary across different modalities depending on lighting and weather ...

This project uses a custom-built facial expression dataset and YOLOv8 to detect and classify human emotions in real-time from video streams. With over 70,000 labeled images across 9 emotional classes, ...