Pedestrian Detection Zone Segmentation for Traffic Intersection Counting
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Solution Overview
Problem
Current traffic detection systems lack the ability to accurately differentiate and count pedestrians within traffic intersections, leading to inadequate management of pedestrian traffic volumes and signal timing adjustments.
Innovation Solution
A system and method for determining a pedestrian detection zone within a traffic detection zone using zone position analysis or object movement analysis, combined with part-based object recognition to identify and count pedestrians, and calibrate pedestrian speed for improved traffic intersection control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional detection systems use general vehicle detection zones, then vehicle detection is achieved, but pedestrian detection and counting capability is lost
Solution Approach 1:
The detection system divides the field of view into multiple specialized detection zones: vehicle detection zones, bicycle detection zones, and pedestrian detection zones. Each zone is optimized for detecting specific types of road users, enabling accurate pedestrian detection while maintaining vehicle detection capabilities through separate dedicated zones.
Solution Approach 2:
Different detection zones are configured with different parameters and characteristics suited to their specific detection target. Pedestrian zones use parameters optimized for human detection (size, shape, movement patterns), while vehicle zones use parameters optimized for vehicular detection, allowing each zone to operate at peak performance for its intended purpose.
2Loss of information
If conventional systems count total vehicles only, then simple counting is achieved, but differentiation between vehicle types and pedestrians is lost
Solution Approach 1:
The counting function is segmented into separate counters for different road user types: vehicle counters, bicycle counters, and pedestrian counters. Each counter operates independently on data from its corresponding detection zone, preserving detailed traffic composition information while maintaining processing efficiency through specialized dedicated counters rather than a single general-purpose counter.
Solution Approach 2:
The system introduces an intermediary classification layer that processes detection data before final counting. Detection zones feed into type-specific counters through this intermediary layer, which differentiates between vehicle types and pedestrians based on detection zone assignment and object characteristics, thereby preserving traffic composition data without requiring complex post-processing.
3Adaptability or versatility
If no pedestrian-specific detection is implemented, then system simplicity is maintained, but pedestrian traffic management capability is insufficient
Solution Approach 1:
The detection system is designed with multi-functionality to handle multiple types of road users simultaneously. By incorporating pedestrian detection zones alongside vehicle and bicycle zones, the system becomes adaptable to various traffic management needs (pedestrian crossings, pedestrian volume analysis, safety monitoring) without requiring separate dedicated systems for each function.
Solution Approach 2:
The system segments detection capabilities into specialized zones for different road user types, including dedicated pedestrian detection zones. This segmentation enables the system to adapt to pedestrian-specific traffic management requirements while maintaining overall system simplicity through modular, purpose-built detection regions rather than requiring complex reconfiguration for different scenarios.
Data Source
AI summary
Pedestrian detection and counting for traffic intersection control analyzes characteristics of a field of view of a traffic detection zone to determine a location and size of a pedestrian area, and applies protocols for evaluating pixel content in the field of view to identify individual pedestrians. The location and size of a pedestrian area is determined based either on locations of vehicle and bicycle detection areas or on movement of various objects within the field of view. Automatic pedestrian speed calibration with a region of interest for pedestrian detection is accomplished using lane and other intersection markings in the field of view. Detection and counting further includes identifying a presence, volume, velocity and trajectory of pedestrians in the pedestrian area of the traffic detection zone.