Video-analysis study finds hybrid computer vision tracks soccer offside positions
A benchmark study combining adaptive background modeling, four-frame differencing and occlusion-aware tracking reached 92.9% mAP@0.5 on ISSIA-CNR and 93.1% on ...
A benchmark study combining adaptive background modeling, four-frame differencing and occlusion-aware tracking reached 92.9% mAP@0.5 on ISSIA-CNR and 93.1% on ...
A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving record accuracy ...
Researchers have built a deep reinforcement learning system called HE-FDDQN that personalizes college students' physical training with 92.5 percent accuracy ...
Researchers at Beijing Institute of Technology have developed an error-state extended Kalman filter with multibody integrators that enables real-time, constraint-consistent ...
Researchers at the University of Western Australia have developed a fully proprioceptive control framework that lets the Unitree G1 humanoid ...
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© 2025 Scienmag - Science Magazine