The Video Summarization (SumMe) dataset consists of 25 videos, each annotated with at least 15 human summaries (390 in total). The data consists of videos…
action, benchmark, event, groundtruth, human, summary, videoThe Weizmann actions dataset by Blank, Gorelick, Shechtman, Irani, and Basri consists of ten different types of actions: bending, jumping jack, jumping, j…
action, action classification, segmentation, videoThe Microsoft Research Cambridge-12 Kinect gesture dataset consists of sequences of human movements, represented as body-part locations, and the associate…
action, gesture, human, kinect, recognitionThe TUG (Timed Up and Go test) dataset consists of actions performed three times by 20 volunteers. The people involved in the test are aged between 22 and…
accelerometer, action, depth image processing - tug, human, kinect, recognition, time, video, wearableUCF50 is an action recognition dataset with 50 action categories, consisting of realistic videos taken from YouTube.
actionThe multi-modal/multi-view datasets are created in a cooperation between University of Surrey and Double Negative within the EU FP7 IMPART project. The …
3d, action, color, dynamic, emotion, face, human, indoor, lidar, model, multi-mode, multi-view, outdoor, rgbd, videoThe test sequences provide interested researchers a real-world multi-view test data set captured in the blue-c portals. The data is meant to be used for t…
action, camera, multiview, segmentation, trackingIt is composed of ADL (activity daily living) and fall actions simulated by 11 volunteers. The people involved in the test are aged between 22 and 39, wit…
accelerometer, action, depth, fall detection - adl, human, kinect, recognition, video, wearableThis dataset features video sequences that were obtained using a R/C-controlled blimp equipped with an HD camera mounted on a gimbal.The collection repres…
actionDataset of 9,532 images of humans performing 40 different actions, annotated with bounding-boxes.
actionThe Multicamera Human Action Video Data (MuHAVi) Manually Annotated Silhouette Data (MAS) are two datasets consisting of selected action sequences for th…
action, background, behavior, human, segmentation, videoWalk, Run, Jump, Gallop sideways, Bend, One-hand wave, Two-hands wave, Jump in place, Jumping Jack, Skip.
actionThe dataset was captured by a Kinect device. There are 12 dynamic American Sign Language (ASL) gestures, and 10 people. Each person performs each gesture …
actionThe SPHERE human skeleton movements dataset was created using a Kinect camera, that measures distances and provides a depth map of the scene instead of th…
action, behavior, depth, human, kinect, motion, movement, skeleton, videoMany different labeled video datasets have been collected over the past few years, but it is hard to compare them at a glance. So we have created a handy …
action, benchmark, classification, detection, object, recognition, videoThe domain-specific personal videos highlight dataset from the paper [1] describes a fully automatic method to train domain-specific highlight ranker for…
action, domain, human, recognition, saliency, summarization, video, wearableWelcome to the homepage of the gvvperfcapeva datasets. This site serves as a hub to access a wide range of datasets that have been created for projects of…
action, depth, face, human, mesh, multiview, pose, reconstruction, tracking, videoDataset A (former NLPR Gait Database) was created on Dec. 10, 2001, including 20 persons. Each person has 12 image sequences, 4 sequences for each of the …
action, biometry, classification, foot, gait, human, motion, pressure, recognitionA Kinect dataset for hand detection in naturalistic driving settings as well as a challenging 19 dynamic hand gesture recognition dataset for human machin…
actionThe CHALEARN Multi-modal Gesture Challenge is a dataset +700 sequences for gesture recognition using images, kinect depth, segmentation and skeleton data.…
action, depth, gesture, human, illumination, kinect, recognition, segmentation, skeletonThe dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity …
actionThe Berkeley Multimodal Human Action Database (MHAD) contains 11 actions performed by 7 male and 5 female subjects in the range 23-30 years of age except …
action, classification, motion, multiview, recognitionContains six types of human actions (walking, jogging, running, boxing, hand waving and hand clapping) performed several times by 25 subjects in four diff…
actionThis dataset consists of seven meal-preparation activities, each performed by 10 subjects. Subjects perform the activities based on the given cooking reci…
actionThis web page contains video data and ground truth for 16 dances with two different dance patterns. The style of dancing is inspired by Scottish Ceilidh d…
action, analysis, background, chemistry, dance, motion, pattern, videoThe dataset consists of four temporally synchronized data modalities. These modalities include RGB videos, depth videos, skeleton positions, and inertial …
actionAn indoor action recognition dataset which consists of 18 classes performed by 20 individuals. Each action is individually performed for 8 times (4 daytim…
action, cross-view, indoor, multi-camera, open-view, recognition, videoThis dataset comprises of 10 actions related to breakfast preparation, performed by 52 different individuals in 18 different kitchens.
actionThe Shefeld Kinect Gesture (SKIG) dataset contains 2160 hand gesture sequences (1080 RGB sequences and 1080 depth sequences) collected from 6 subjects. Al…
action, depth, gesture, human, illumination, kinect, recognitionJPL First-Person Interaction dataset (JPL-Interaction dataset) is composed of human activity videos taken from a first-person viewpoint. The dataset parti…
action, human, interactive, motion, recognition, videoObservations of several subjects setting a table in different ways. Contains videos, motion capture data, RFID tag readings,...
actionThe dataset consist of the about 50 hours obtained from kindergarten surveillance videos. Dataset, totally approximately 100 videos sequences (1000GB, 50 …
action, background, behavior, human, segmentation, video surveillanceHollywood-2 datset contains 12 classes of human actions and 10 classes of scenes distributed over 3669 video clips and approximately 20.1 hours of video i…
actionThe Olympic Sports Dataset contains YouTube videos of athletes practicing different sports.
actionThis dataset consists of a set of actions collected from various sports which are typically featured on broadcast television channels such as the BBC and …
actionThis dataset contains 5 different collective activities : crossing, walking, waiting, talking, and queueing and 44 short video sequences some of which wer…
actionThe Stanford 40 Actions dataset contains images of humans performing 40 actions. In each image, we provide a bounding box of the person who is performing …
action, boundingbox, detection, human, recognitionFully annotated dataset of RGB-D video data and data from accelerometers attached to kitchen objects capturing 25 people preparing two mixed salads each (…
actionWe wanted to have a collection of action recognition papers and results that everybody can use for reference. The site will work by the community principl…
action, benchmark, dataset, recognitionThe MSR Action datasets is a collection of various 3D datasets for action recognition. See details http://research.microsoft.com/en-us/um/people/zliu/a…
3d, action, detection, recognition, reconstruction, videoThe dataset captures 25 people preparing 2 mixed salads each and contains over 4h of annotated accelerometer and RGB-D video data. Annotated activities co…
action, activity, classification, detection, recognition, tracking, videoThis dataset contains 7 challenging volleyball activity classes annotated in 6 videos from professionals in the Austrian Volley League (season 2011/12). A…
action, activity recognition, analysis, detection, sport, video, volleyballThe dataset contains 2326 video sequences of 15 different sport actions and human body joint annotations for all sequences.
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