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September 12, 2025International Journal on Applied Physics and EngineeringOpen Access

Detection and Analysis of Moving Objects

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This method enhances detection accuracy of moving objects amidst spatial interference, simplifying environmental monitoring.
By using motion cues for segmentation, the method estimates objects’ trajectories and velocities effectively.
The approach relies on noise-correcting coding to lower computational and energy costs compared to deep learning methods.
Applications include real-time identification of objects from aerial surveillance data captured by unmanned vehicles.

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Implication

The study demonstrates improved motion trajectory detection and image segmentation in ecological monitoring, suggesting better reliability in high noise environments.

Cite This Study

Anatol Mitsiukhin (2025) studied this question.

synapsesocial.com/papers/68d44b3031b076d99fa548ba https://doi.org/10.37394/232030.2025.4.7

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Implication

The study demonstrates improved motion trajectory detection and image segmentation in ecological monitoring, suggesting better reliability in high noise environments.

Detection and Analysis of Moving Objects

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Implication

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Detection and Analysis of Moving Objects

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Implication

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