UAV Multi-Target Group Tracking for Accurate Moving Surveillance
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Solution Overview
Problem
Existing technologies face challenges in efficiently tracking multiple targets using unmanned aerial vehicles (UAVs) equipped with imaging devices, especially when targets and UAVs are in motion.
Innovation Solution
A computer-implemented method and system for tracking multiple targets by identifying targets based on images from a UAV's imaging device, determining a target group, and controlling the UAV to track the target group.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple targets are tracked simultaneously using a UAV with imaging devices, then the surveillance capability is improved, but the tracking accuracy and system complexity increase
Solution Approach 1:
The patent segments the multiple tracking tasks into two levels: target group level and individual target level. The UAV system first identifies and tracks a target group as a whole, then selectively tracks specific individual targets within that group. This segmentation allows the system to maintain surveillance of multiple targets while concentrating tracking resources on selected targets, thereby preserving tracking accuracy despite increased surveillance capability.
Solution Approach 2:
The patent introduces a hierarchical dimension to the tracking system, organizing targets into groups and individuals. This dimensional change allows the system to manage multiple targets by working at the group level for overall surveillance while switching to individual level for precise tracking when needed, effectively resolving the contradiction between broad surveillance and precise tracking.
2Adaptability or versatility
If multiple targets are tracked simultaneously using a UAV with imaging devices, then the surveillance capability is improved, but the device complexity increases
Solution Approach 1:
The patent segments the complex multi-target tracking system into modular components: target group identification module, individual target selection module, and tracking execution module. This segmentation reduces system complexity by breaking down the overall task into manageable sub-tasks that can be processed independently, allowing the UAV to handle multiple targets without overwhelming system complexity.
Solution Approach 2:
The patent introduces a target group as an intermediary concept between individual targets and the UAV tracking system. Instead of directly tracking multiple individual targets simultaneously, the system first identifies a target group and then selects specific individuals from that group for detailed tracking. This intermediary layer simplifies the control architecture by providing a buffer between the multiple targets and the tracking resources.
3Area of stationary object
If the UAV tracks multiple moving targets in dynamic environments, then the surveillance coverage is improved, but the tracking efficiency decreases
Solution Approach 1:
The patent implements dynamic target group identification and individual target selection based on real-time environmental conditions and target characteristics. The system continuously updates which targets are included in the target group and which individuals are selected for detailed tracking, allowing it to adapt to changing surveillance needs and maintain high tracking efficiency across varying surveillance coverage requirements.
Solution Approach 2:
The patent applies partial action by not tracking all identified targets with equal intensity. Instead, the system identifies a target group and selectively applies detailed tracking resources to specific individual targets within that group based on priority criteria. This partial action approach allows the system to maintain broad surveillance coverage while concentrating tracking efficiency on the most important targets.
Data Source
AI summary
A method for tracking multiple targets includes identifying a primary target from a plurality of targets based on a plurality of images obtained from an imaging device carried by a movable object via a carrier, determining a target group including one or more targets from the plurality of targets, where the primary target is always in the target group. Determining the target group includes determining one or more remaining targets in the target group based on a spatial relationship or a relative distance between the primary target and each target of the plurality of targets other than the primary target. The method further includes controlling at least one of the movable object or the carrier to track the target group as a whole.