Trajectory Interaction Features for Drug Deal Detection
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Solution Overview
Problem
Current systems for detecting illegal activities involving pedestrians and vehicles, such as drug deals, in surveillance videos are inefficient as they require manual monitoring and lack automated detection capabilities, leading to delayed response times and missed incidents.
Innovation Solution
An automated method and system that uses video cameras to detect and track pedestrians and vehicles, generate trajectory interaction features, and apply heuristic rules to identify potential drug deal events in real-time, integrating with a Police Business Intelligence system for notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring of surveillance videos is used to detect illegal activities, then detection capability is maintained, but response time is delayed and productivity is reduced
Solution Approach 1:
The patent replaces manual mechanical monitoring with an automated computer-based system that uses video cameras, trajectory analysis algorithms, and heuristic rule processing to detect illegal activities. The system automatically tracks pedestrians and vehicles, generates trajectory interaction features, and applies predefined heuristics to identify potential drug deals, eliminating the need for human operators to manually review surveillance footage while improving response time.
2Ease of operation
If manual monitoring of surveillance videos is used, then complex interaction detection is possible, but the system complexity and operational burden increase
Solution Approach 1:
The system performs self-service by automatically executing the entire detection process without human intervention. The video processing system autonomously captures footage, tracks objects, generates trajectory features, applies heuristic rules, and generates alerts for potential illegal activities. This automation reduces operational burden while managing system complexity through integrated software modules that work together seamlessly.
3Productivity
If automated detection systems are implemented, then productivity and response time improve, but measurement precision and detection accuracy may be compromised
Solution Approach 1:
The system incorporates feedback mechanisms through heuristic rules that continuously evaluate trajectory interaction features and adjust detection decisions. The predefined heuristics analyze multiple parameters including relative positions, velocities, and interaction patterns of pedestrians and vehicles, providing feedback-based validation that improves detection accuracy while maintaining high processing speed. The system can generate alerts only when multiple heuristic conditions are satisfied, reducing false positives.
Data Source
AI summary
Disclosed is a method and system for detecting an interaction event between two or more objects in a surveillance area, via the application of heuristics to trajectory representations of the static or dynamic movements associated with the objects. According to an exemplary embodiment, trajectory interaction features (TIFs) are extracted from the trajectory representations and heuristics are applied to the TIFs to determine if an interaction event has occurred, such as a potential illegal drug deal involving at least one pedestrian and at least one vehicle.