Abstract
Event-based image processing is a relatively new domain in the field of computer vision. Much research has been carried out on adapting event-based data to comply with established techniques from frame-based computer vision. On the contrary, this paper presents a descriptor which is designed specifically for direct use with event-based data and therefore can be considered to be a pure event-based vision descriptor as it only uses events emitted from event-based vision devices
without transforming the data to accommodate frame-based vision techniques. This novel descriptor is known as the Poststimulus Time-dependent Event Descriptor (P-TED). P-TED is comprised of two features extracted from event data which describe motion and the underlying pattern of transmission respectively. Furthermore a framework is presented which leverages the P-TED descriptor to classify motions within event data. This framework is compared against another stateof-the-art event-based vision descriptor as well as an established frame-based approach.
without transforming the data to accommodate frame-based vision techniques. This novel descriptor is known as the Poststimulus Time-dependent Event Descriptor (P-TED). P-TED is comprised of two features extracted from event data which describe motion and the underlying pattern of transmission respectively. Furthermore a framework is presented which leverages the P-TED descriptor to classify motions within event data. This framework is compared against another stateof-the-art event-based vision descriptor as well as an established frame-based approach.
Original language | English |
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Title of host publication | The 27th IEEE International Conference on Image Processing (ICIP 2020) |
Publication status | Accepted/In press - 16 May 2020 |
Event | The 27th IEEE International Conference on Image Processing - Abu Dhabi, United Arab Emirates Duration: 25 Oct 2020 → 28 Oct 2020 |
Conference
Conference | The 27th IEEE International Conference on Image Processing |
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Abbreviated title | ICIP 2020 |
Country/Territory | United Arab Emirates |
City | Abu Dhabi |
Period | 25/10/20 → 28/10/20 |
Keywords
- Bio-inspired
- neuromorphic
- Motion Recognition
- Multi-dimensional Signal Processing
- Computer Vision