Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance
… the system proposed in this paper uses deep reinforcement learning algorithms to obtain
behavior models able to solve the whole surveillance problem, taking into account obstacles of …
behavior models able to solve the whole surveillance problem, taking into account obstacles of …
Building construction based on video surveillance and deep reinforcement learning using smart grid power system
… Experiments have shown that the new video surveillance has … Reinforcement learning has
been used to solve these issues. … %, and the overall surveillance performance ratio of 98.6%. …
been used to solve these issues. … %, and the overall surveillance performance ratio of 98.6%. …
Deep reinforcement learning-based computation offloading in uav swarm-enabled edge computing for surveillance applications
… In this paper, we investigate a surveillance application scenario of a hierarchical UAV … a
deep reinforcement learning based computation offloading (DRLCO) scheme using double deep …
deep reinforcement learning based computation offloading (DRLCO) scheme using double deep …
Cooperative multiagent deep reinforcement learning for reliable surveillance via autonomous multi-UAV control
… area for flexible and reliable surveillance services. UAVs should be … deep reinforcement
learning-based management scheme for reliable industry surveillance in smart city applications. …
learning-based management scheme for reliable industry surveillance in smart city applications. …
Crowd aware summarization of surveillance videos by deep reinforcement learning
J Xu, Z Sun, C Ma - Multimedia Tools and Applications, 2021 - Springer
… for long surveillance videos. To tackle these challenges, we formulate surveillance video …
process and train the summarization network with reinforcement learning-based framework. A …
process and train the summarization network with reinforcement learning-based framework. A …
Drone deep reinforcement learning: A review
… Due to the outdoor applications for drones such as surveillance and delivery tasks, accurate
navigation can not be achieved through a global navigation satellite system (GNSS) [52]. …
navigation can not be achieved through a global navigation satellite system (GNSS) [52]. …
Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning model
RF Mansour, J Escorcia-Gutierrez, M Gamarra… - Image and Vision …, 2021 - Elsevier
… video surveillance applications have … surveillance. The aim of anomaly detection is to
automatically determine the existence of abnormalities in a short time period. Deep reinforcement …
automatically determine the existence of abnormalities in a short time period. Deep reinforcement …
Deep reinforcement learning for real-world anomaly detection in surveillance videos
S Aberkane, M Elarbi - … Signal Processing and their Applications …, 2019 - ieeexplore.ieee.org
… In this paper, we developed deep reinforcement learning architecture for anomalies
detection in the surveillance video. Our proposed model tends to recognize the most abnormal …
detection in the surveillance video. Our proposed model tends to recognize the most abnormal …
Reinforcement learning-based mobile edge computing and transmission scheduling for video surveillance
… video surveillance network for face recognition applications, … adopted a deep reinforcement
learning algorithm, ie, the … of a video surveillance for face recognition applications and how to …
learning algorithm, ie, the … of a video surveillance for face recognition applications and how to …
[PDF][PDF] A suvey on edge intelligent video surveillance with deep reinforcement learning
Y Li - Journal of Network Intelligence, 2022 - researchgate.net
… architecture in detail, and proposes a new federal deep reinforcement learning based cluster
MEC intelligent video surveillance system. Furthermore, this paper discusses application …
MEC intelligent video surveillance system. Furthermore, this paper discusses application …
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