Remanent Imaging Motion Extraction for Single-Image Device Control
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Solution Overview
Problem
Current camera imaging systems are unable to process motion from single images without context and require multiple images to output motion measures, making them unreliable in terms of sharpness, frame rates, and exposure times, limiting their ability to control devices effectively.
Innovation Solution
The method and apparatus for remanent imaging control capture images using a capture device, extract motion from these images, and generate parameters to control devices based on the extracted motion, allowing for robust motion processing even in unfavorable conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion processing requires multiple images in a sequence, then motion measures can be computed, but the system becomes unreliable when sharpness, frame rates, and exposure times are degraded
Solution Approach 1:
The patent extracts motion information directly from individual images by analyzing the remanent image data structure, eliminating the need to process sequences of multiple images. This extraction approach isolates the essential motion data from each single image, making the system reliable even when image quality parameters vary.
Solution Approach 2:
The patent changes the fundamental parameter from requiring multiple temporal samples (image sequences) to utilizing a single image with remanent exposure data. By transforming how motion information is encoded and accessed within a single image's data structure, the system achieves reliability without depending on frame rates or sharpness consistency across multiple frames.
2Measurement precision
If motion data quality depends on sharpness of object features, then clear motion tracking is achieved, but the system fails in conditions with degraded sharpness, frame rates, or exposure times
Solution Approach 1:
The patent adds a temporal dimension within the single image data structure through remanent exposure. Instead of relying on sharpness across multiple frames, the system encodes motion information in the temporal integration data of each pixel within a single image, creating a new dimension for motion measurement that is independent of spatial sharpness.
Solution Approach 2:
The remanent image data structure serves as an intermediary that bridges the gap between single-image capture and motion measurement. This intermediate representation contains integrated temporal information that allows accurate motion tracking without requiring multiple separate images, thus maintaining precision under degraded conditions.
3Ease of operation
If multiple images are required for motion processing, then motion measures can be output, but the system cannot control devices effectively from single image data
Solution Approach 1:
The patent performs preliminary encoding of motion information during the single image exposure process itself. By integrating temporal motion data into the remanent image structure during capture, the system prepares the data in advance, allowing immediate device control without requiring subsequent processing of multiple images.
Data Source
AI summary
The invention is drawn towards a method and apparatus for controlling a consumer based on motion detected in a data stream, comprising: receiving the data stream, extracting motion information from the image data, generating commands and parameters for the consumer according to the motion information and controlling the consumer according to the commands and parameters.