Dual-stream spatiotemporal fusion with dynamic feature mapping for gait-based identity recognition

Key Points

• This research aims to enhance identity recognition through sophisticated gait analysis techniques.
• Developed a dual-stream spatiotemporal fusion model
• Utilized dynamic feature mapping for improved accuracy
• Analyzed performance against traditional methods
• Achieved a 20% increase in recognition accuracy compared to baseline models
• Demonstrated a reduction in processing time by 30% with the new method
• Validated results across diverse populations and environments