diff --git a/bin/pam_ball_trajectories.py b/bin/pam_ball_trajectories.py
index 50e1154..089b19d 100755
--- a/bin/pam_ball_trajectories.py
+++ b/bin/pam_ball_trajectories.py
@@ -66,7 +66,7 @@ def _add_tennicam(hdf5_path: pathlib.Path, group_name: str):
     with bt.MutableRecordedBallTrajectories(path=hdf5_path) as rbt:
         if group_name in rbt.get_groups():
             raise ValueError("group {} already present in the file")
-    nb_added = rbt.add_tennicam_trajectories(group_name, pathlib.Path.cwd())
+        nb_added = rbt.add_tennicam_trajectories(group_name, pathlib.Path.cwd())
     logging.info("added {} trajectories".format(nb_added))
 
 
diff --git a/python/context/ball_trajectories.py b/python/context/ball_trajectories.py
index e88ca64..f620b8e 100644
--- a/python/context/ball_trajectories.py
+++ b/python/context/ball_trajectories.py
@@ -8,6 +8,8 @@
 from __future__ import annotations
 import typing
 import nptyping as npt
+from typing import Union, Tuple
+
 
 import random
 import math
@@ -17,7 +19,8 @@
 
 import o80
 import pam_configuration
-import tennicam_client
+
+from context import LowPassFilter
 
 
 assert int(npt.__version__[0]) >= 2, "Need nptyping >=2."
@@ -83,7 +86,7 @@ def to_stamped_trajectory(input: DurationTrajectory) -> StampedTrajectory:
     return stamps, positions
 
 
-def to_duration_trajectory(input: StampedTrajectory) -> DurationTrajectory:
+def to_duration_trajectory(input: StampedTrajectory, vel_filter_window_size: int = 1) -> DurationTrajectory:
     """
     Converts a StampedTrajectories to a DurationTrajectory.
     The velocities are estimated by performing finite differences.
@@ -92,6 +95,12 @@ def to_duration_trajectory(input: StampedTrajectory) -> DurationTrajectory:
     dp = np.diff(input[1], axis=0)
     velocities = (dp.T / (dt * 1e-6)).T
     positions = input[1][:-1, :]
+
+    #velocity filtering
+    if vel_filter_window_size > 1:
+        filter_lp = [LowPassFilter(vel_filter_window_size), LowPassFilter(vel_filter_window_size), LowPassFilter(vel_filter_window_size)]
+        velocities = [[filter_lp[i].get(v[i]) for i in range(3)] for v in velocities]
+
     return dt, positions, velocities
 
 
@@ -290,6 +299,8 @@ def add_tennicam_trajectories(
         The number of trajectories added to the file.
         """
 
+        import tennicam_client
+
         def _read_trajectory(tennicam_file: pathlib.Path) -> StampedTrajectory:
             """
             Parse the file and returned the corresponding
@@ -475,12 +486,60 @@ def get_trajectory(self, index: int) -> StampedTrajectory:
         """
         return self._data[index]
 
-    def random_trajectory(self) -> StampedTrajectory:
+    def get_trajectory_with_translation(
+        self, index: int, translation: typing.Sequence[float]
+    ) -> StampedTrajectory:
+        """
+        Returns the trajectory at the requested index, translated
+        by the provided translation vector.
+        """
+        if len(translation) != 3:
+            raise ValueError("Translation must be a 3d vector")
+        trajectory = self._data[index]
+        positions = trajectory[1] + np.array(translation, np.float32)
+        return trajectory[0], positions
+
+    def get_trajectory_with_random_translation(
+        self, index: int, translation_range: typing.Sequence[float]
+    ) -> StampedTrajectory:
+        """
+        Returns the trajectory at the requested index, translated
+        by a random vector in the provided range.
+        The range is expected to be a 3d vector, i.e. [x_min, x_max, y_min, y_max, z_min, z_max].
+        """
+        if len(translation_range) != 6:
+            raise ValueError("Translation range must be a 6d vector")
+        translation = [
+            random.uniform(translation_range[i*2], translation_range[i*2 + 1])
+            for i in range(3)
+        ]
+        return self.get_trajectory_with_translation(index, translation)
+
+    def random_trajectory(self, return_index: bool = False) -> Union[StampedTrajectory, Tuple[StampedTrajectory, int]]:
         """
         Returns one of the trajectory, randomly selected.
+        If return_index is True, also returns the selected index.
         """
         index = random.choice(list(range(len(self._data.keys()))))
-        return self._data[index]
+        trajectory = self._data[index]
+
+        return (trajectory, index) if return_index else trajectory
+
+    def random_trajectory_with_random_translation(
+        self, translation_range: typing.Sequence[float], return_index: bool = False
+    ) -> Union[StampedTrajectory, Tuple[StampedTrajectory, int]]:
+        """
+        Returns one of the trajectory, randomly selected,
+        translated by a random vector in the provided range.
+        The range is expected to be a 3d vector, i.e. [x_min, x_max, y_min, y_max, z_min, z_max].
+        If return_index is True, also returns the selected index.
+        """
+        index = random.choice(list(range(len(self._data.keys()))))
+        translated_trajectory = self.get_trajectory_with_random_translation(
+            index, translation_range
+        )
+
+        return (translated_trajectory, index) if return_index else translated_trajectory
 
     def get_different_random_trajectories(
         self, nb_trajectories: int
@@ -498,23 +557,44 @@ def get_different_random_trajectories(
         random.shuffle(indexes)
         return [self._data[index] for index in indexes[:nb_trajectories]]
 
+    def get_different_random_trajectories_with_random_translation(
+        self, nb_trajectories: int, translation_range: typing.Sequence[float]
+    ) -> StampedTrajectories:
+        """
+        Returns a list of trajectories, randomly
+        ordered and selected, translated by a random vector
+        in the provided range.
+        The range is expected to be a 3d vector, i.e. [x_min, x_max, y_min, y_max, z_min, z_max].
+        """
+        if nb_trajectories > self.size():
+            raise ValueError(
+                "BallTrajectories: only {} trajectories "
+                "available ({} requested)".format(self.size(), nb_trajectories)
+            )
+        indexes = list(self._data.keys())
+        random.shuffle(indexes)
+        return [
+            self.get_trajectory_with_random_translation(index, translation_range)
+            for index in indexes[:nb_trajectories]
+        ]
+
     @staticmethod
-    def to_duration(input: StampedTrajectory) -> DurationTrajectory:
+    def to_duration(input: StampedTrajectory, vel_filter_window_size: int  = 1) -> DurationTrajectory:
         """
         Returns a corresponding duration trajectory
         """
-        return to_duration_trajectory(input)
+        return to_duration_trajectory(input, vel_filter_window_size)
 
     @classmethod
     def iterate(
-        cls, input: StampedTrajectory
+        cls, input: StampedTrajectory, vel_filter_window_size: int = 1
     ) -> typing.Generator[DurationPoint, None, None]:
         """
         Generator over the trajectory.
         Yields tuples (duration in microseconds, state), state having
         a position and a velocity attribute.
         """
-        durations, positions, velocities = cls.to_duration(input)
+        durations, positions, velocities = cls.to_duration(input, vel_filter_window_size)
         for d, p, v in zip(durations, positions, velocities):
             yield d, o80.Item3dState(p, v)
         return