Intelligent Dome Camera Target Tracking via PTZ Conversion
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Solution Overview
Problem
Current intelligent tracking fast-speed dome systems struggle to selectively track specific targets in complex scenarios, often missing the intended target due to multiple objects or obstruction, and fail to accurately focus on critical areas like license plates on large vehicles.
Innovation Solution
A method and system that allows for real-time tracking of selected targets by converting location coordinates into Pan, Tilt, and Zoom values for the speed dome, enabling dynamic adjustment of magnification and rotation to maintain focus on the target of interest, even in complex environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the speed dome tracks the first target that triggers an alarm in a multi-target scenario, then the tracking response time is minimized, but the intended monitoring target may be missed or misidentified
Solution Approach 1:
The system continuously receives feedback about target characteristics and alarm statuses, comparing them against predefined criteria to determine whether to switch tracking targets. This feedback loop enables the system to maintain fast response while improving identification accuracy by verifying target characteristics before committing to tracking.
Solution Approach 2:
The tracking target selection is made dynamic rather than static. The system can switch from tracking one target to another based on real-time conditions, such as when a newly detected target has more significant characteristics or when the current target's characteristics change. This dynamic adaptation allows the system to balance speed and accuracy according to evolving scenario requirements.
2Device complexity
If the speed dome uses standard alarm-triggered tracking, then the system complexity is reduced, but it cannot accurately focus on critical areas like license plates on large vehicles
Solution Approach 1:
The system applies different tracking strategies to different target characteristics. Instead of uniform tracking, it identifies and prioritizes specific local features (such as license plates, which have distinctive characteristics) within the overall target detection framework. This allows the system to maintain overall simplicity while adding specialized precision for critical areas.
Solution Approach 2:
The target analysis process is segmented into multiple stages: initial alarm detection, characteristic extraction, and critical area identification. By breaking down the tracking decision into separate analytical steps, the system can manage complexity through modular processing while improving precision through focused analysis of specific features.
3Adaptability or versatility
If the speed dome switches between multiple targets in complex scenarios, then the monitoring coverage is improved, but the tracking stability and focus may be compromised
Solution Approach 1:
The system uses feedback mechanisms to evaluate the stability and suitability of tracking targets in real-time. Before switching targets, it assesses whether the current tracking is stable and whether the new target warrants a switch based on characteristic analysis. This feedback control ensures that target switching enhances monitoring coverage without compromising necessary tracking stability.
Solution Approach 2:
The system performs preliminary analysis of target characteristics before initiating tracking or switching targets. By pre-evaluating which targets are most worthy of tracking based on their characteristics, the system can make informed switching decisions that improve coverage while maintaining stability. This preliminary sorting action prevents premature or inappropriate target switches.
Data Source
AI summary
Disclosed is a target tracking method for an intelligent tracking high speed dome, comprising: in the process of target tracking, when the position coordinates of a newly selected target in the acquired tracking image are received, matching the position coordinates of the newly selected target in the tracking image, using the target corresponding to the position coordinates of the newly selected target in the tracking image as a current target, and extracting the characteristics of the current target; tracking the current target according to the characteristics thereof, and updating in real time the position coordinates of the current target in the tracking image; converting the updated position coordinates of the current target into speed dome identifiable horizontal rotation value P, vertical rotation value T and magnification factor value Z; adjusting in real time the magnification factor of the speed dome, and controlling in real time the rotation of the speed dome.