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Real-Time Object Detection

Real-Time Object Detection is a computer vision task that involves identifying and locating objects of interest in real-time video sequences with fast inference while maintaining a base level of accuracy.

This is typically solved using algorithms that combine object detection and tracking techniques to accurately detect and track objects in real-time. They use a combination of feature extraction, object proposal generation, and classification to detect and localize objects of interest.

( Image credit: CenterNet )

Papers

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Showing 151–175 of 259 papers

TitleStatusHype
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
Globally-scalable Automated Target Recognition (GATR)—0
HGO-YOLO: Advancing Anomaly Behavior Detection with Hierarchical Features and Lightweight Optimized Detection—0
Highly Scalable, Parallel and Distributed AdaBoost Algorithm using Light Weight Threads and Web Services on a Network of Multi-Core Machines—0
How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection—0
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava—0
Image Models for large-scale Object Detection and Classification—0
Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules—0
Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation—0
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19—0
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices—0
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving—0
Lidar based Detection and Classification of Pedestrians and Vehicles Using Machine Learning Methods—0
Lightweight Object Detection: A Study Based on YOLOv7 Integrated with ShuffleNetv2 and Vision Transformer—0
Liquid Leak Detection Using Thermal Images—0
MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection—0
Modality-Buffet for Real-Time Object Detection—0
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster—0
Object-centric Cross-modal Feature Distillation for Event-based Object Detection—0
Object Class Detection and Classification using Multi Scale Gradient and Corner Point based Shape Descriptors—0
Object detection and tracking benchmark in industry based on improved correlation filter—0
Object Detection in Specific Traffic Scenes using YOLOv2—0
Object Detection in the Context of Mobile Augmented Reality—0
Octave-YOLO: Cross frequency detection network with octave convolution—0
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing—0
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