High-altitude parabolic detection method based on spatio-temporal information

Abstract

The invention discloses a high-altitude parabolic detection method based on spatio-temporal information, and the method comprises the steps: obtaining a to-be-recognized image pair sequence which is auniform sampling image sequence in the same video scene in continuous time; inputting the to-be-recognized image pair sequence into a pre-trained deep neural network model for forward operation, andobtaining a falling track probability graph of the high-altitude projectile body; if the falling track probability graph has a vertical communication area with a certain length, determining that a high-altitude parabolic behavior exists in the time period. The falling track of the high-altitude projectile body can be accurately positioned, and then whether the high-altitude projectile behavior exists or not is judged.

Description

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AI Technical Summary

Benefits of technology

This patented technology uses spatially correlated data from multiple cameras or sensors attached to spacecraft during flight for accurate tracking purposes. It does this through analyzing image frames captured over different periods of time with each other's movement. By comparing these movements across consecutive scenes, we are able to determine if someone falls down onto them correctly without being affected by any external factors like sunlight shading or rain streaks. Additionally, our system takes into account both temporal variations caused by moving targets themselves (their altitudes) and environmental variables such as weather conditions. Overall, its technical effect lies within improving accuracy and reliability while minimizing complexity and cost compared to existing methods used today.

Problems solved by technology

Technological Problem: Current methods for identifying high-height object(es) (such as birds or debris), which can cause injury during flight due to their ability to hide under trees without being seen by aircraft pilots. These techniques require expensive cameras installed near airports, making them hard targets against terrorists who may be able to disable these systems before they enter into action. Additionally, current technologies rely heavily upon visual inspeckling to identify threatening events caused by such objects.

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