Melody Yates
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Wildtrack. Wildtrack is a large-scale and high-resolution dataset. It has been captured with seven static cameras in a public open area, and unscripted dense groups of pedestrians standing and walking. Together with the camera frames, we provide an accurate joint (extrinsic and intrinsic) calibration, as well as 7 series of 400 annotated frames ...
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- Download
- Hardware and Data Acquisition
- Description of Available Files
- Positions File
- Annotations
- Acknowledgment
To download the annotated dataset (frames & annotations): Wildtrack_dataset_full.zip To download the videos:
This new multi-camera dataset was acquired using seven high-tech statically positioned cameras with overlapping fields of view. Namely, three GoPro Hero 4 and four GoPro Hero 3 cameras were used. It comes with highly accurate joint-camera calibration as well as synchronization between the views’ sequences. The data acquisition took place in front o...
Currently we provide: 1. Synchronized frames extracted with a frame rate of 10 fps, 1920×1080 resolution, and which are post-processed to remove the distortion; 2. Calibration files which use the Pinhole camera model, compatible with the projection functions provided in the OpenCV library. Both the extrinsic and the intrinsic calibrations are avail...
The ‘positions file’ allows for omitting the work with calibration files and focusing for instance on classification, while making use of the fact that the cameras are static. It consists of information about where exactly a given set of particular volumes of space project to in all of the views. The height of each volume space corresponds to the o...
Full ground truth annotations are provided for 400 frames using a frame rate of 2fps. On average, there are 20 persons on each frame. Thus, our dataset provides approximately 400x20x7=56,000 single-view bounding boxes. By interpolating, the annotations’ size can be further increased. This annotations were generated through workers hired on Amazon M...
This work was supported by the Swiss National Science Foundation, under the grant CRSII2-147693 ”WILDTRACK”.
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The challenging and realistic setup of the WILDTRACK dataset brings multi-camera detection and tracking methods into the wild. It meets the need of the deep learning methods for a large-scale multi-camera dataset of walking pedestrians, where the cameras’ fields of view in large part overlap. Being acquired by current high tech hardware it ...
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