This is the dataset used in the paper: http://visual.cs.ucl.ac.uk/pubs/MotionModelPrediction/ If you find any of this useful, please cite: @INPROCEEDINGS{GarciaCifuentes.etal.BMVC2012, author = {Garc{\'i}a Cifuentes, Cristina and Sturzel, Marc and Jurie, Fr\'{e}d\'{e}ric and Brostow, Gabriel J.}, title = {Motion Models that Only Work Sometimes}, booktitle = {BMVC}, year = {2012}, } Contact: cristina dot garcia_cifuentes dot 09 at alumni.ucl.ac.uk -------------------------------------------------------------------------------- Our dataset consists of over 100 challenging real-world videos from YouTube and Vimeo encompassing various scenarios, illuminations, and recording conditions. They last typically between 3 and 90 seconds. To train a supervised classifier, we inspected the videos and judged whether a clip belonged predominantly to one of four rough camera motions (Traveling Right, Traveling Left, Forward or Backward), or might be better served by the Brownian or Constant Velocity models. For the TRight and TLeft categories, the paper also used the flipped video as part of the dataset. In total, there are 12 videos labeled as Br, 11 as CVel, 11 (+ 17 flips) as TRight, 17 (+ 11) as TLeft, 24 as Fwd, and 13 as Bwd. *Erratum* In the BMVC paper, there is a 14th Bwd spurious video used by mistake. It has been removed from the dataset since. -------------------------------------------------------------------------------- All the videos were downloaded from the internet. Big 'Thank you!' to the authors and uploaders. Some of the links and clip names: http://youtu.be/Q6o5MRwEII4?t=2m35s - intro http://youtu.be/CRD8AUg2ApE?t=1m30s - 3Trikes (Bwd) http://youtu.be/fGwy0EqW6oc - AfghanistanMedic (Br) - RKTaunting (Br) http://youtu.be/Eru6Bk1hcUg?t=19s - AheadOfSkateboard (Bwd) http://youtu.be/cyd3DT9LYAw - BethStars (TLeft) http://youtu.be/Dq8T1SiA0OU - BikerHook (Fwd) http://youtu.be/0EJzTr6lJAs - BikesHanoi (CVel) http://youtu.be/gmV28s4AE20?t=153s - BlackBirdSkateBoard (Fwd) - BlackBirdSkateBoard2 (Fwd) - BlackBirdSkateBoard3 (Fwd) http://youtu.be/gjUYmJ5G-I4 - BrixOx (Fwd) http://youtu.be/PV0xs08iflQ - CHdownhillA (Bwd) http://youtu.be/zjy6S_jl9gU?t=4m13s - Champigny (Fwd) http://youtu.be/jN9nUhkH2zw - ChartresLeft (TLeft) http://youtu.be/cwZ2M0k58IE - CineSliderBaby (TRight) http://youtu.be/cwZ2M0k58IE - CineSliderTower (TLeft) http://vimeo.com/18605637 - DIYslider_Left (TLeft) - DIYslider_Right (TRight) http://youtu.be/GPuPvyPC9Rs?t=1m51s - DownTwnLA (Fwd) http://youtu.be/qmEvtw2ApHw?t=41s - DriftSview (TLeft) http://youtu.be/gQ1LaHe7dZs?t=31s - EightyOne_Barrier (TLeft) http://youtu.be/gQ1LaHe7dZs?t=31s - EightyOne_Cafe (TRight) - EightyOne_Chairs (TRight) - EightyOne_Gas (TRight) http://youtu.be/PV0xs08iflQ - F18GoProA (TRight) http://youtu.be/GDGPEYrUEFw?t=51s - F1Moscow (Fwd) http://youtu.be/yTKrXbC-UeE - FollowMeContour (Bwd) - FollowMeYamahaR6a (Bwd) - FollowMeYamahaR6b (Bwd) - FollowMeYamahaR6c (Bwd) http://youtu.be/cSwxupqAogo?t=4m50s - FollowOnLeft (Fwd) http://youtu.be/ygEFhh1MPOE?t=329s - GoProMtBakerB (Bwd) http://youtu.be/J4E_uh5oze4?t=72s - IGUS_grass (TRight) - IGUS_rock (TLeft) http://youtu.be/Gq19haG7A1w - JacobiteTrain (CVel) http://youtu.be/Gy8lT0ppR6g?t=47s - Jasper (Fwd) http://youtu.be/OFrCcX7br0c?t=58s - KitchenShot (TLeft) http://youtu.be/e2r-z6G1rMM?t=3m44s - LBRide (Fwd) http://youtu.be/5f9SSH3ezWw - London1950s (Bwd) http://youtu.be/JE82FZpq0qM - LondonToBath1963 (Fwd) - LondonToBath1963Rain (Fwd) http://youtu.be/WfHG84cFbT8 - ManPorch (Br) http://youtu.be/y-5SwoqabMw - MelbourneInterview (CVel) http://youtu.be/Brw2lvQtrMQ - MiamiFence (TLeft) http://youtu.be/O5e5CA_6nW4 - MiamiHotels (TLeft) http://youtu.be/RzEM038XXeI - MothFlowers (Br) http://youtu.be/p5bY28ZaCyg?t=3m16s - MotoForwards (Fwd) - MotoForwardsB (Fwd) http://youtu.be/hWFUvp29ZF8?t=120s - MotorCHelmetVRIDETV (Fwd) http://youtu.be/Z3FYLP5TWCw - NioneCars (CVel) http://youtu.be/AvGV7kuMSS4 - OktokopterHighlight (Br) - TractField (Br) http://youtu.be/AvGV7kuMSS4 - OktokopterTakeoff (CVel) http://youtu.be/81IQt-Pgodc - OliviaGlidecam (TLeft) http://youtu.be/KdcNWW7sFyk - PreAmbush(Br) http://youtu.be/kjJBnq7qkhU?t=3m6s - R1SmonicaA (Fwd) - R1SmonicaB (Fwd) http://youtu.be/14tq--0OEMk - RedAerialMnt (TLeft) - RedBay (CVel) http://youtu.be/eXCOdP7atW4 - RedEpicBiker (TLeft) http://youtu.be/sxRglhnbaQ0 - RedTulips (Br) http://youtu.be/fUmyYrWwY0k - RockyMntnsElk (Fwd) http://youtu.be/uNmA12XQTq4 - RosesWoman (CVel) http://youtu.be/TPb-cKpcrUE - RoughLandingLauderdale (TLeft) http://youtu.be/MTbYRaQlQvE?t=184s - SeineCruise (TRight) - SeineSpeedup (TRight) http://youtu.be/MTbYRaQlQvE?t=109s - SeineLeft (CVel) http://youtu.be/93iGybLsMsE - TDAssembyWalking (TLeft) http://youtu.be/dUg75hDvOw8 - TireRevA (Bwd) - TireRevB (Bwd) http://youtu.be/4yiXSbeFzpU - TrafficAbove (CVel) http://youtu.be/1hQ17x207wM - TrafficNight (CVel) http://youtu.be/8Dy1EBUwsbI - TransAmPole (Bwd) http://youtu.be/upPWX-ALZtU - TreesLeft (TLeft) http://youtu.be/kProvD2rcaU - TruckingBeach (TLeft) http://youtu.be/olxQ3srvDaQ - VBTrack (br) http://youtu.be/q0qPWSs75Y0?t=29s - VancIslandForest (Fwd) http://youtu.be/M0-sH458Yec - Voelkerb (Br) http://youtu.be/5zSBXyMUvbE - WalmartGoPro (Fwd) http://youtu.be/Xk0iW2mcCww - WandsworthTurns (Fwd) - WandsworthUphill (Fwd) http://youtu.be/00OewJO47eQ - WaterlooBridge (Fwd) http://youtu.be/PxD9eEc_tak - WhistlerSunPeaks (Bwd) http://youtu.be/lnVnohEuWIY - WhiteDog (Br) http://youtu.be/AaIMwD3Od-0 - WindyFlowers (Br)