MovSAM introduces the first framework for identifying moving objects from a single image, eliminating the need for multi-frame sequences.

• Addresses a critical gap in visual environment understanding
• Enables motion intention prediction from static frames
• Solves the camera frame drop problem in surveillance and autonomous systems
• Enhances security applications by maintaining detection continuity

This breakthrough has significant security implications for surveillance systems, autonomous vehicles, and threat detection where continuous tracking is essential, even when video feeds are compromised or limited.

MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep Thinking