CASE STUDY · SPORTS ANALYTICS

Measuring shooting technique from video.

Shooting technique is usually judged by eye. This computer vision system analyzes shooting motion from video to give coaches and players measurable, repeatable feedback.

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Shot analysis output on an outdoor court: the player's body pose drawn as a skeleton, the ball tracked in flight towards a detected rim, with shot and follow-through counts overlaid
Shot tracking output: body pose, ball track, rim detection and follow-through counts.

PROJECT OVERVIEW

INDUSTRY
Sports
PROJECT TYPE
Computer vision video analysis
CAPABILITIES
Pose Estimation, Ball Tracking, Rim Detection, Video Analysis

01 · THE CHALLENGE

Technique judged by eye.

Coaches and players usually assess shooting technique by watching. It works, but it is subjective and hard to repeat consistently across sessions.

Details like release, arc and follow-through happen in a fraction of a second.

The goal was a system that could analyse each shot from ordinary video and turn it into measurable feedback.

02 · THE SOLUTION

Body, ball and rim, tracked together.

The system follows the shooter, the ball and the rim through every frame of the video.

  1. 01

    Video input

    Shooting sessions are recorded on video.

  2. 02

    Body pose estimation

    The shooter's body position is tracked frame by frame.

  3. 03

    Ball tracking

    The ball is followed from release towards the basket.

  4. 04

    Rim detection

    The rim is located in the frame as the target.

  5. 05

    Follow-through analysis

    Each shot is checked for whether the follow-through was held.

03 · KEY CAPABILITIES

What the system does.

Body pose estimation

Maps the shooter's body position throughout the shot.

Ball tracking

Follows the ball's path in flight.

Rim detection

Identifies the rim so each shot can be related to the target.

Follow-through analysis

Separates shots with a held follow-through from those without.

Session statistics

Shows shot counts, shot phase and follow-through results over the video.

04 · OUTCOME

Repeatable feedback from ordinary video.

The project delivered a computer vision system that analyses shooting motion from video using pose estimation, ball tracking and rim detection.

It gives coaches and players a consistent, measurable view of each shot instead of relying on the eye alone.

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