Event Camera Deformable Object Tracking
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Solution Overview
Problem
Existing object tracking systems face challenges in efficiently tracking deformable objects in real-time due to high bandwidth and power consumption requirements, especially when using shutter-based camera images.
Innovation Solution
The use of event camera data to track deformable objects by generating a dynamic representation of the object based on pixel events, which reduces data transmission and processing needs by focusing on changes in light intensity rather than absolute intensity, allowing for real-time tracking with lower bandwidth and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If shutter-based camera images are used to track deformable objects in real-time, then tracking accuracy is improved, but bandwidth consumption and power consumption increase substantially
Solution Approach 1:
The patent extracts only the essential information needed for tracking by using event cameras that detect and transmit only pixels where light intensity changes occur. This selective extraction of relevant data (changing pixels) rather than transmitting complete frames significantly reduces bandwidth and power consumption while maintaining tracking accuracy for deformable objects.
Solution Approach 2:
The system transitions from static frame-based imaging to dynamic event-based imaging where only changing elements are captured and transmitted. This dynamic approach allows the system to adapt to object motion and deformation in real-time, improving tracking efficiency by focusing computational resources only on relevant changes rather than processing entire static frames.
2Productivity
If high frame rate and resolution images are transmitted for deformable object tracking, then tracking performance is improved, but heat generation and power consumption increase
Solution Approach 1:
The event camera system extracts only the minimal necessary data (changing pixel events) required for real-time tracking, eliminating the need to transmit and process large volumes of redundant image data. This extraction approach enables high-speed tracking while minimizing heat generation from data transmission and processing operations.
Solution Approach 2:
The system changes the fundamental parameter of data representation from complete frames to sparse event streams. By transforming the data format to capture only intensity changes with timestamps and coordinates, the system achieves high tracking speed with dramatically reduced power consumption and heat generation compared to traditional high-frame-rate imaging.
3Measurement precision
If complete frame data is transmitted for object tracking, then measurement accuracy is improved, but communication bandwidth requirements increase
Solution Approach 1:
The patent applies extraction by transmitting only the essential tracking information contained in event pixels where intensity changes occur, rather than transmitting complete frame data. This selective transmission maintains sufficient measurement accuracy for deformable object tracking while reducing data volume by several orders of magnitude compared to traditional video streams.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and real-time tracking of deformable objects like faces and hands with reduced heat generation and power consumption, using event cameras to capture and process changes in light intensity, thereby improving tracking performance and energy efficiency.
Implementation Method 1
Each respective pixel event is generated in response to a respective pixel sensor detecting a change in intensity (e.g., logarithmic (log) intensity) of the light at a respective event camera pixel that exceeds a comparator threshold
Data Source
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AI summary
Various implementations disclosed herein include devices, systems, and methods that use event camera data to track deformable objects such as faces, hands, and other body parts. One exemplary implementation involves receiving a stream of pixel events output by an event camera. The device tracks the deformable object using this data. Various implementations do so by generating a dynamic representation of the object and modifying the dynamic representation of the object in response to obtaining additional pixel events output by the event camera. In some implementations, generating the dynamic representation of the object involves identifying features disposed on the deformable surface of the object using the stream of pixel events. The features are determined by identifying patterns of pixel events. As new event stream data is received, the patterns of pixel events are recognized in the new data and used to modify the dynamic representation of the object.