Remote Object Tracking with Tagged Image Sequences
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Solution Overview
Problem
Existing surveillance and remote tracking systems face challenges due to time-delays in communication links, which complicate the accurate locking and tracking of moving objects, leading to instability and overshoots, especially when human operators are involved in feedback loops with delayed reactions.
Innovation Solution
A tracking system that includes a sensing unit with an image sensor capable of identifying moving and stationary objects, assigning object-tags, and maintaining these tags across image sequences, allowing for real-time location determination and direction commands to ensure accurate tracking despite communication delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the operator sends control commands to the sensing unit to track a moving object, then the object can be tracked, but time-delays in communication links cause the displayed location to be outdated and lead to instability and overshoots
Solution Approach 1:
The system performs preliminary actions by capturing and storing multiple successive images at the sensing unit before the operator issues tracking commands. This allows the system to have access to historical image data that can be used to compensate for communication delays when determining object location and generating tracking commands.
Solution Approach 2:
The system introduces an intermediary processing mechanism that determines object location by comparing current image data with previously captured images. This intermediary process generates corrected tracking commands that account for time-delays, acting as a mediator between the operator's commands and the actual sensing unit adjustments.
2Productivity
If the system captures and transmits successive images for tracking, then real-time tracking is enabled, but communication bandwidth requirements increase and transmission time is extended
Solution Approach 1:
The system extracts only the essential information needed for tracking by capturing successive images at the sensing unit and processing them locally to determine object location. Only the critical tracking data and corrected commands need to be transmitted, rather than transmitting all raw image data, thus reducing communication bandwidth requirements.
Solution Approach 2:
The sensing unit performs preliminary image processing and object detection before transmission, preparing the data in advance. This allows the system to have tracking-ready information available locally, reducing the need for continuous high-bandwidth data transmission while maintaining real-time tracking capability.
Data Source
AI summary
The presently disclosed subject matter includes tracking method and system wherein a succession images is generated at a sensing unit; one or more moving object in the succession of images is identified; an object tag is assigned to at least one of the moving objects to yield in a respective tagged object; responsive to a command received from a control unit indicative of a selected object, identifying a location of the selected object in a latest available captured image, wherein: if the selected object is a moving object, the selected object is identified in the latest available captured image based on a respective object tag; and if the selected object is a stationary object, the selected object is identified using an image or piece thereof comprising the at least one selected object.