Vision Systems: From Image Processing to Object Tracking
Vision Systems: From Image Processing to Object Tracking Vision systems help devices interpret scenes. They do more than snap photos. They turn pixels into decisions that guide actions, from a phone camera adjusting focus to a robotic arm placing a part on a conveyor. The goal is clear perception: what is in the frame, where it is, and how it moves. Here’s a simple pipeline used in many projects: Capture frames from a camera Preprocess the image (denoise, correct lighting, resize) Detect objects or features (colors, edges, or trained detectors) Track moving objects over time (link detections across frames) Interpret results and trigger actions (alerts, picking, navigation) From image processing to tracking Early work in vision focused on processing the image itself. Simple techniques like edge detection, smoothing, and thresholding helped identify shapes and regions of interest. Tracking started with motion models that predict the next position of an object, plus methods to measure how it moves from frame to frame. ...