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3. Understanding insect predator–prey interactions using camera trapping: A review of current research and perspectives.

4. Development of a Deep Learning-Based Flooding Region Segmentation Model for Recognizing Urban Flooding Situations.

5. A Comparison of Deep Learning and Machine Learning Approaches to Video Injection Detection.

6. Implementation of perspective-n-point techniques and YOLOv5 algorithm based on surveillance camera for localization.

7. State-of-the-Art Techniques for Real-Time Monitoring of Urban Flooding: A Review.

8. Quick calibration of massive urban outdoor surveillance cameras.

9. Deep Neural Network-Based Flood Monitoring System Fusing RGB and LWIR Cameras for Embedded IoT Edge Devices.

10. Deep learning and LiDAR integration for surveillance camera-based river water level monitoring in flood applications.

11. Literature Review of Deep-Learning-Based Detection of Violence in Video.

12. Violent Activity Detection Through Surveillance Camera Using Deep Learning

14. Near Real-Time 3D Reconstruction of Construction Sites Based on Surveillance Cameras

15. فحص انعكاسات نشر الجريمة المشهودة التي تم ضبطها بوساطة كاميرا المراقبة أو الهواتف الذكية أو البث المباشر علي نمذجة السلوك الإجرامي وتقليد الجريمة من قبل مجرمي التقليد.

16. Thermal-Adaptation-Behavior-Based Thermal Sensation Evaluation Model with Surveillance Cameras.

17. El teatro de la vigilancia: Las cámaras de vigilancia en Medellín.

18. Research on Metro Station the Blind Zone of Camera Surveillance Based on "BIM+Simulation".

19. Prediction of Criminal Activities Forecasting System and Analysis Using Machine Learning

20. Image Quality Improvement of Surveillance Camera Image by Learning Noise Removal Method Using Noise2Noise

24. A Multi-Stream Attention-Aware Convolutional Neural Network: Monitoring of Sand and Dust Storms from Ordinary Urban Surveillance Cameras.

25. A Cost-Effective System for Indoor Three-Dimensional Occupant Positioning and Trajectory Reconstruction.

26. First Report on a Cliff-Nesting Pair of Black Storks (Ciconia nigra Linnaeus, 1758) and Their Nestlings.

27. Experiences of using surveillance cameras as a monitoring solution at nursing homes: The eldercare personnel’s perspectives

28. CNN-Based Vehicle Bottom Face Quadrilateral Detection Using Surveillance Cameras for Intelligent Transportation Systems.

29. Development of Safety Monitoring for an IOT-Enabled Smart Environment

30. Frame-Wise Action Recognition Training Framework for Skeleton-Based Anomaly Behavior Detection

31. Reuse Your Old Smartphone: Automatic Surveillance Camera Application

32. Deep Neural Network-based Approach for Accurate Vehicle Counting.

33. Experiences of using surveillance cameras as a monitoring solution at nursing homes: The eldercare personnel's perspectives.

34. A surveillance camera reveals season-long nesting activities and behaviors at a nest of the Northern Black Swift (Cypseloides niger borealis).

36. Nuclear radiation detection based on the convolutional neural network under public surveillance scenarios

37. Privacy Protection in Surveillance Videos Using Block Scrambling-Based Encryption and DCNN-Based Face Detection

38. A Cost-Effective System for Indoor Three-Dimensional Occupant Positioning and Trajectory Reconstruction

39. Abnormal behavior detection of stationary objects in surveillance videos with visualization and classification.

41. Suspicious Activity Detection Using Live Video Analysis

42. Placement Optimization of Surveillance Cameras: Visibility Analysis

43. El teatro de la vigilancia: Las cámaras de vigilancia en Medellín

44. Säkerhetsutvärdering av säkerhetskameror för smarta hem

45. Intelligent model to image enrichment for strong night-vision surveillance cameras in future generation.

46. Multiple vehicle tracking and classification system with a convolutional neural network.

47. Integrating Computer Vision Technologies for Smart Surveillance Purpose

48. Critical Infrastructure Security Against Drone Attacks Using Visual Analytics

49. A surveillance camera reveals season-long nesting activities and behaviors at a nest of the Northern Black Swift (Cypseloides niger borealis)

50. Exploiting Deeply Supervised Inception Networks for Automatically Detecting Traffic Congestion on Freeway in China Using Ultra-Low Frame Rate Videos