The PKU-Spike-High-Speed Dataset is constructed by National Engineering Laboratory for Video Technology (NELVT), Peking University.

The goals to create this dataset includes: (1) reconstructing high-speed moving target; (2) Capturing natural scenes for high-speed moving camera. Therefore, the first available part contains Class A (moving target) and Class B (moving camera) with eight spike sequences, which are recorded by a retina-based camera, namely fovea-like sampling model (FSM). In particular, our FSM has high temporal resolution (40k FPS) and can reconstruct texture image with 400*250 pixel. We also provide two spike players (jspikeplayer.jar and SpikePlayer.exe) for playback spike sequences. Additionally, more details are illustrated in the following table.

Sequence		Scene reconstruction	Length (s)	Spike numbers
Class A moving target	car-100km/h		0.2	102206031
	bus		0.42	211084678
	ratation1-2600r/min		2	396742501
	ratation2-2600r/min		2	407620564
Class B moving camera	train-350km/h		0.2	42898223
	forest		0.22	93319068
	viaduct bridge		0.22	136859111
	railway		0.22	87866720

Note: Class A is captured by the fixed FSM, and class B is recorded by the FSM in high railway with the speed of 350 km/h.

The PKU-Spike-High-Speed Dataset is now partly made available for the academic purpose only on a case-by-case basis. More sequences are under evaluation which will be public in the future.

LICENSE

• The sequences can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed.
• Copyright National Engineering Laboratory for Video Technology (NELVT) and Institute of Digital Media, Peking University.

All publications using PKU-Spike-High-Speed Dataset should cite the papers below:

Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian. A retina-inspired sampling method for visual texture reconstruction, IEEE International Conference on Multimedia and Expo (ICME), 2019.

DOWNLOAD

• You can download the agreement (pdf) by clicking the DOWNLOAD link.
• Contact E-mail: pkuml at pku.edu.cn