Velocity Tracking via Frame Differencing and Correlation

The system performs preliminary actions by automatically detecting the object in the video stream and preparing measurement parameters in advance. The processor continuously analyzes video frames to identify the object and pre-calculates measurement parameters, so that when velocity measurement is needed, the system is already prepared and can immediately provide accurate measurements without user reaction time delays.

The patent replaces the mechanical/manual timing system with an automated computer vision system. Instead of relying on user-activated timers and manual start/stop actions, the system uses image processing algorithms to automatically track the object across video frames and calculate velocity, eliminating human reaction time and improving measurement precision.

The system segments the measurement process into distinct phases: detecting the pitcher's hand position in the first frame, tracking the object through intermediate frames, and identifying the catcher's glove position in the final frame. This segmentation allows the system to measure the actual distance traveled by the object rather than relying on fixed stadium dimensions, improving accuracy while maintaining automated operation.

The patent introduces video frame analysis as an intermediary measurement method. Instead of directly measuring the fixed distance from mound to plate, the system uses multiple video frames to capture the actual start and end positions of the object, creating an intermediary reference system that accurately reflects the true distance traveled during the specific measurement instance.

The system replaces manual frame-by-frame analysis with automated image processing algorithms. The processor automatically analyzes video frames to detect the object's position, track its movement, and calculate velocity, eliminating the time-consuming manual searching process while maintaining or improving measurement precision through consistent algorithmic analysis.

The system performs self-service by automatically detecting the object in video frames, tracking its position changes, and calculating velocity without requiring user intervention. The processor continuously monitors the video stream and autonomously identifies key frames and computes measurements, freeing the user from time-consuming manual analysis while providing accurate velocity data.

The system transitions from a static fixed-location setup to a dynamic handheld-capable system. The automated object detection and tracking algorithms continuously adapt to the camera's movement and changing perspectives, allowing the system to function accurately whether mounted on a tripod or held in the user's hand. The processor adjusts measurement parameters in real-time based on detected object position and camera motion.

The patent creates a universal measurement system that can operate in multiple configurations - fixed location with tripod mounting or handheld operation. The automated image processing and object tracking capabilities work effectively in both scenarios, making the system versatile and adaptable to different measurement situations without requiring separate specialized equipment for each configuration.

The system extracts the object of interest from the moving background by using automated detection algorithms that identify specific visual characteristics of the target object. The processor separates the object's motion trajectory from the background movement by tracking distinctive features, allowing accurate velocity measurement even when the background is in motion or when the camera itself is moving.

The patent introduces automated object detection algorithms as an intermediary layer between the raw video data and velocity calculation. This intermediary system identifies and tracks the specific object of interest, filtering out background motion and camera movement interference, thereby enabling precise velocity measurement of the target object regardless of background conditions.