Pose Estimation
Pose estimation is a computer vision technique that detects and tracks the positions and orientations of human body parts (e.g., joints and limbs) in images or videos. It involves identifying keypoints like elbows, knees, and shoulders to reconstruct a skeletal representation of a person's pose. This technology is widely used in applications such as motion analysis, augmented reality, and human-computer interaction.
Developers should learn pose estimation when building applications that require understanding human movement, such as fitness tracking, gesture-based controls, or animation in gaming and film. It is essential for projects involving activity recognition, virtual try-ons, or robotics where real-time human pose analysis improves user experience and functionality.