Multi-Resolution Video Analysis for Vehicle Tracking

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Solution Overview

Problem

Current video processing systems for transportation applications face challenges in managing high bandwidth and large data storage requirements, as they need to preserve key features and vehicle identification information, while other applications can utilize lower resolution video data, leading to inefficient data processing and storage.

Innovation Solution

A multi-resolution transportation video analysis and encoding system that extracts key vehicle features at high resolution and reduces other video data to lower resolution, using a subsampling module to archive and store video data efficiently, while maintaining essential features for vehicle identification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If high resolution video data is preserved for vehicle identification, then key feature preservation is improved, but data storage requirements increase

Engineering Contradiction:

Improvekey feature preservationVSAvoiddata storage requirements

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

The patent segments video data processing into multiple resolution levels: high resolution for key feature extraction (vehicle identification) and low resolution for general video archiving. This segmentation allows the system to preserve only the essential high-resolution information needed for identification while storing the majority of video data at lower resolution, thereby reducing overall storage requirements while maintaining key feature preservation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by maintaining high resolution only in specific regions or frames where vehicle identification is needed, while other portions of the video data are stored at lower resolution. This selective quality approach ensures that key features are preserved where necessary without unnecessarily maintaining high resolution throughout the entire video dataset.

Inventive Principle:

Principle #3Local quality

2Measurement precision

If high resolution video data is processed, then vehicle identification accuracy is improved, but data processing requirements increase

Engineering Contradiction:

Improvevehicle identification accuracyVSAvoiddata processing requirements

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent segments the video processing workflow into high-resolution processing only for frames containing vehicles of interest, while other frames are processed at low resolution. This segmentation enables the system to maintain high identification accuracy when needed while significantly reducing the overall computational burden of processing entire video streams at high resolution.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies partial action by processing only the necessary portions of video data at high resolution (frames with detected vehicles) rather than processing all video data at high resolution. This approach maintains measurement precision for identification tasks while avoiding the excessive processing requirements of uniformly high-resolution processing.

Inventive Principle:

Principle #16Partial or excessive action

3Loss of information

If full resolution video is archived, then information completeness is improved, but storage efficiency deteriorates

Engineering Contradiction:

Improveinformation completenessVSAvoidstorage efficiency

Core Design Contradiction:

Loss of informationVSLoss of energy

Solution Approach 1:

The patent segments archived video data into high-resolution segments (containing vehicles of interest) and low-resolution segments (other video content). This segmentation maintains information completeness for identification purposes while improving storage efficiency by reducing the resolution of non-critical video data.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies local quality in archiving by preserving high resolution only in specific local regions or frames where vehicles are present, while archiving other portions at lower resolution. This approach ensures information completeness is maintained where necessary while improving overall storage efficiency.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS8953044B2Multi-resolution video analysis and key feature preserving video reduction strategy for (real-time) vehicle tracking and speed enforcement systems

Publication Date: 2015.02.10 CONDUENT BUSINESS SERVICES LLC

AI summary

Systems and methods are disclosed that include a video-based analysis system that detects, tracks and archives vehicles in video stream data at multiple resolutions. The system includes an image capturing device that captures video stream data having video at a first high resolution. A vehicle detection module detects at least one vehicle within the video. A vehicle analysis module is configured to analyze the video and to extract one or more key vehicle features from the video to enable identification of a vehicle of interest (VOI) according to a set of predetermined criteria. A subsampling module creates a reduced resolution video stream in a second subsampled resolution that is lower than the first high resolution while maintaining the one or more extracted key features within the reduced resolution video stream in the first high resolution, and archives the reduced resolution video stream into a video database.