video tracking/ object tracking
BIWI Walking Pedestrians dataset
- Walking pedestrians in busy scenarios from a bird eye view
- 4006 images which are evenly distributed between fog, nighttime, rain, and snow.
“Central” Pedestrian Crossing Sequences
- Three pedestrian crossing sequences
Pedestrian Mobile Scene Analysis
- The set was recorded in Zurich, using a pair of cameras mounted on a mobile platform. It contains 12’298 annotated pedestrians in roughly 2’000 frames.
- BMP image sequences.
- Data sets for tracking vehicles and people in aerial image sequences.
- MIT traffic data set is for research on activity analysis and crowded scenes. It includes a traffic video sequence of 90 minutes long. It is recorded by a stationary camera.
Shinpuhkan 2014 dataset: Multi-Camera Pedestrian Dataset for Tracking People across Multiple Cameras
- This dataset consists of more than 22,000 images of 24 people which are captured by 16 cameras installed in a shopping mall “Shinpuh-kan”. All images are manually cropped and resized to 48x128 pixels, grouped into tracklets and added annotation.
- The tracking environment consists of multiple 3D range sensors, covering an area of about 900 m2, in the “ATC” shopping center in Osaka, Japan.
Human detection and tracking using RGB-D camera
- Collected in a clothing store. Captured with Kinect (640*480, about 30fps)
- Hallway Corridor - Multiple Camera Tracking: An indoor camera network dataset with 6 cameras (contains ground plane homography).
Multiple Object Tracking Benchmark
- A centralized benchmark for multi-object tracking.
- The dataset consists of eight unique scenes in crowded spaces such as a university campus or the sidewalks of a busy street.
Moving cameras monitoring the same scenes
- Low-resolution RGB videos + ground truth trajectories from multiple fixed and moving cameras monitoring the same scenes (indoor and outdoor) to improve object tracking and matching.
Visual Tracking