This research reviews cutting-edge methods for detecting and classifying interactions between humans and objects in visual data, enabling automated understanding of human activities.

• Focuses on accurately localizing human and object instances and classifying their relationships
• Enables security monitoring systems to detect unusual behaviors and potential threats
• Provides foundation for surveillance applications through contextual understanding of human activities
• Supports advanced visual intelligence for safety and security contexts

This technology offers significant implications for security systems by enabling automated monitoring of human behaviors and detection of unusual or potentially threatening interactions in surveillance footage.

A Review of Human-Object Interaction Detection