A Scalable and Robust Framework for Intelligent Real-time Video Surveillance
In this paper, we present an intelligent, reliable and storage-efficient video surveillance system using Apache Storm and OpenCV. As a Storm topology, we have added multiple information extraction modules that only write important content to the disk. Our topology is extensible, capable of adding novel algorithms as per the use case without affecting the existing ones, since all the processing is independent of each other. This framework is also highly scalable and fault tolerant, which makes it a best option for organisations that need to monitor a large network of surveillance cameras.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things
With the advancement of vision-based artificial intelligence, the proliferation of the Internet of Things connected cameras, and the increasing societal need for rapid and equitable security, the demand for accurate real…
Video Detector: A Dual-Phase Vision-Based System for Real-Time Traffic Intersection Control and Intelligent Transportation Analysis
Urban traffic management increasingly requires intelligent sensing systems capable of adapting to dynamic traffic conditions without costly infrastructure modifications. Vision-based vehicle detection has therefore becom…
Multi-Object TrackingGenerative Visual Foresight Meets Task-Agnostic Pose Estimation in Robotic Table-Top Manipulation
Robotic manipulation in unstructured environments requires systems that can generalize across diverse tasks while maintaining robust and reliable performance. We introduce {GVF-TAPE}, a closed-loop framework that combine…
Pose EstimationTraining Agents Inside of Scalable World Models
World models learn general knowledge from videos and simulate experience for training behaviors in imagination, offering a path towards intelligent agents. However, previous world models have been unable to accurately pr…
Reinforcement LearningGeneral KnowledgeIntelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video
In Intelligent Transportation System, real-time systems that monitor and analyze road users become increasingly critical as we march toward the smart city era. Vision-based frameworks for Object Detection, Multiple Objec…
Multiple Object TrackingObjectobject-detectionObject Detection+1