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6 hours ago · Proposed an adaptive background mixture model for real-time object detection from the conventional video scene. Walther et al. (2004), Saliency based, Bottom ...
19 hours ago · This webinar will go into detail on why AI is moving to the Edge and discuss: Artificial Intelligence 101 -Key benefits of AI including false alarm reduction ...
6 days ago · This paper examines the federated optimization of the cutting-edge YOLOv7 model to tackle real-time object detection amid data heterogeneity, encompassing ...
4 days ago · Object detection is a crucial task in computer vision that involves identifying and locating objects within an image or video. This task is fundamental for ...
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6 days ago · Integrates smart motion detection and video ... It features real-time monitoring with low latency, high-quality live video streaming. ... real-time video analysis ...
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7 days ago · Video Analysis: From motion detection to object tracking, OpenCV enables real-time analysis of video streams, making it indispensable for surveillance, traffic ...
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2 days ago · In this paper, we propose a fog-assisted abnormal motion recognition system utilizing an ontology-based semantic algorithm to bolster security within university ...
1 day ago · A new fog-assisted real time video surveillance system is proposed for detecting suspicious actions of students inside the university campus. The system uses ...
5 days ago · Lin[25] propose a test-time adaptation method for video action recognition models, it aligns the training statistics with the online estimates of target ...
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6 days ago · This optimization is crucial for real-time applications that require low latency, such as object detection in video surveillance, where models like YOLO-NAS ...
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