Gesture control robotics replaces traditional buttons and joysticks with natural hand movements. This approach improves user interaction and reduces mechanical dependency on physical controllers.

Our VisMoFlow framework consists of three components: visual fusion and motion fusion. The former builds the luminance fusion between frame and event modalities to enhance high dynamic range, and the ...

Text-to-video models (Runway, Sora, Veo 3, Pika, Luma) are trained on large datasets of video–text pairs, and data quality directly determines generation quality ("garbage in, garbage out").

The complete code for this Gesture control drone project is provided at the bottom of this page. Additionally, you can find the source code in our GitHub repository linked below. As you can see, we ...

Abstract: This study proposes a robust computer vision-based system for autonomous vehicle identification and tracking, utilizing OpenCV with Python for real-time image processing. To precisely ...

This is a PyTorch implementation of our paper. Abstract: The accuracy of learning-based optical flow estimation models heavily relies on the realism of the training datasets. Current approaches for ...

Abstract: To achieve positive detection results, a variety of face landmark methods supported by the convolutional neural network have been developed. The instability landmarks thus emerge in video ...