Open Mr-Akbari opened 1 year ago
Thanks for sharing your work. I want to use Kalman filter with this input : (x, y, vx, vy). Contains the bounding box center position (x, y) and their respective velocities. (without aspect ratio a and height h) So I edit your code :
class KalmanFilter(object): def __init__(self): ndim, dt = 2, 1. self._motion_mat = np.eye(2 * ndim, 2 * ndim) ... def initiate(self, measurement): ... std = [ 2 * self._std_weight_position, 2 * self._std_weight_position, 10 * self._std_weight_velocity, 10 * self._std_weight_velocity] ... def predict(self, mean, covariance): std_pos = [ self._std_weight_position, self._std_weight_position] std_vel = [ self._std_weight_velocity, self._std_weight_velocity] ... def project(self, mean, covariance, confidence=.0): std = [ self._std_weight_position, self._std_weight_position] ...
But it is not working well. I really appreciate it if you answer these questions. Thanks very much.
Thanks for sharing your work. I want to use Kalman filter with this input : (x, y, vx, vy). Contains the bounding box center position (x, y) and their respective velocities. (without aspect ratio a and height h) So I edit your code :
But it is not working well. I really appreciate it if you answer these questions. Thanks very much.