Chess Dynamics has announced the release of Deep Embedded Feature Tracking (DEFT), an advanced real-time video tracking system that delivers precise and resilient tracking performance even in intricate scenarios.
DEFT employs an advanced deep learning methodology pioneered by the company’s Vision4ce brand, establishing an extensive model of the tracked target. This enables the system to achieve precise target localization and consistently reacquire the target after periods of obstruction. DEFT significantly enhances tracking performance, particularly for challenging targets exhibiting varying appearances or rapid acceleration, even amidst foreground and background distractions, where conventional algorithms often encounter difficulties.
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