Video Event Detection for Automated Object Search Queries
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing object search techniques in video rely heavily on human intervention, leading to variable search speed and accuracy based on the guard's ability, often resulting in suboptimal performance.
Innovation Solution
An information processing apparatus that automatically analyzes video for event occurrence, determines object types based on the event, and generates query information for efficient object detection at times other than the event occurrence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a guard manually designates an image and issues an instruction to search for a person, then the search can be performed in other images, but the search speed and accuracy largely change depending on the guard's ability and may lower when the guard does not take optimum action
Solution Approach 1:
The system enables self-service by allowing the video data to automatically trigger and define search queries based on detected events, eliminating the need for manual guard intervention. The event detection unit automatically identifies events in video data and generates appropriate search queries, making the system self-sufficient and removing dependence on human operator skill levels.
Solution Approach 2:
The patent replaces the mechanical human decision-making process with an automated event detection and query generation system. Instead of relying on a guard's manual judgment and action selection, the system uses automated event detection units that analyze video data and automatically determine optimal search queries, substituting human cognitive processes with computational algorithms.
2Productivity
If manual designation by a guard is used to initiate person search, then the system can operate with simple architecture, but the productivity and search efficiency vary significantly based on human ability
Solution Approach 1:
The system performs preliminary action by continuously analyzing video data to detect events before a search is needed. The event detection unit proactively identifies events and automatically generates search queries in advance, so when a search is required, the system is already prepared with optimized queries based on the detected event, eliminating delays associated with manual assessment.
Solution Approach 2:
The system implements feedback by using event detection results to automatically adjust and generate search queries. The detection of specific events provides feedback that informs the query generation process, creating a closed-loop system where video analysis results directly influence search strategy, continuously optimizing search efficiency based on actual event characteristics.
Data Source
AI summary
To efficiency search for an object associated with a sensed event, an information processing apparatus includes a sensor that analyzes a captured video and senses whether a predetermined event has occurred, a determining unit that determines a type of an object to be used as query information based on a type of the event in response to sensing of the event occurrence, and a generator that detects the object of the determined type from the video and generates the query information based on the detected object.