Enhanced YOLOV5-LSTM Framework for Multi-Object Detection and Tracking in Surveillance Videos

Key Points

• The enhanced YOLOV5-LSTM framework improves multi-object detection in surveillance videos.
• Key evidence indicates a significant increase in detection accuracy of 20%, achieving real-time processing speeds.
• This observational analysis utilized advanced tracking algorithms to follow multiple objects through complex scenes.
• The findings highlight the potential for better security outcomes with improved surveillance technology.