Computer Vision - Detection and Trajectory

STEP 01

Calibration of the camera to obtain its intrinsic parameters.

STEP 02

Estimation of the interest of doing distortion compensation.

STEP 03

Determination of the homography between the camera and the scene.

STEP 04

Object detection in the scene.

STEP 05

Augmentation of the video by its centroid and bounding box

STEP 06

Augmentation of the video by its parabolic trajectory approximation.

STEP 07

Approximation by a simple ballistic model and deduction of the initial speed and angle parameters.

STEP 08

Projection of the model for an estimation of the future position of the balloon in the white area.