Aeriform in-action is a multiview dataset for recognizing human actions in aerial videos. The proposed dataset consists of 32 high resolution videos containing 13 action classes with 55,477 frames (without augmentation) and 400,000 annotations captured at 30fps and a resolution of 3840 x 2160 pixels. The dataset addresses several concerns like camera motion, illumination changes, diversity in actions, dynamic transitions of actions etc. The action classes can be categorized as atomic actions, human- human interactions and human-object interactions. The 13 actions are carrying, drinking, handshaking, hugging, kicking, lying, punching, reading, running, sitting, standing, walking and waving. This dataset will provide a baseline for recognizing human actions in aerial videos and will encourage the embedding researchers to progress the field.
An open-source tool, DarkLabel is used to annotate
the videos. Click on the
link provided to know more about it.
All the videos are converted into frames and the annotations are provided for each frame. The annotations are mapped back to the original images for validating the dataset.
Annotations are represented with the help of seven attributes:
| Name | Action | ID | Coordinates(x,y,w,h) |
|---|---|---|---|
| Person | Punching | 0 | 2121, 1579, 60, 112 |
| Person | Standing | 4 | 1637, 1523, 73, 101 |
| Person | Walking | 5 | 1567, 1542, 55, 121 |
| Person | Lying | 7 | 1278, 1826, 90, 117 |
Surbhi Kapoor has completed her B.Tech from Guru Nanak Dev Engineering College,Punjab, India in 2014 and M.Tech in 2016 in Computer Science and engineering. She is awarded with Junior Research Fellow (JRF) award from university grant commission (UGC), New Delhi in 2018 and she is pursuing her Ph.D in Computer Science and Engineering from University Institute of Engineering and Technology, Chandigarh, India. Her research interests include object detection, image and video analytics.
Akashdeep is currently working as an assistant professor in Computer Science and Engineering at University Institute of Engineering. & Technology, Panjab University, Chandigarh, India.He has published more than 22 research papers in international journals and conferences. He has 12+ years of teaching and research experience. His research interests include wireless networks, soft computing and video analytics, moving object detection and tracking, traffic sensing and classification.
Amandeep Verma is currently working as an associate professor in Information and Technology at University Institute of Engineering. & Technology, Panjab University, Chandigarh, India. She has done her PhD in Computer Science & Engineering in 2016. Her area of interest includes parallel and distributed computing, computer networks, workflow scheduling in cloud computing, and IoT.
Sarbjeet Singh is currently working as a professor in Computer Science and Engineering at UIET, Panjab University, Chandigarh, India. He has received Ph.D degree in Computer Science and Engineering from Thapar University, Patiala, India in 2009.He has more than 30 research publications in international journals and conferences to his credit. His research interests include parallel and distributed systems, distributed security architectures, privacy and trust related issues in distributed environments, object detection and video surveillance.
University Institute of Engineering and Technology
South Campus,Panjab University, Sector 25
Chandigarh,India 160014
