no code implementations • 24 May 2024 • Sami Arja, Alexandre Marcireau, Saeed Afshar, Bharath Ramesh, Gregory Cohen
Achieving optimal performance with frame-based vision sensors on aerial platforms poses a significant challenge due to the fundamental tradeoffs between bandwidth and latency.
no code implementations • 13 May 2021 • Weng Fei Low, Ankit Sonthalia, Zhi Gao, André van Schaik, Bharath Ramesh
Most successful computer vision models transform low-level features, such as Gabor filter responses, into richer representations of intermediate or mid-level complexity for downstream visual tasks.
1 code implementation • 2 Sep 2020 • Bharath Ramesh, Shihao Zhang, Hong Yang, Andres Ussa, Matthew Ong, Garrick Orchard, Cheng Xiang
On the other hand, when the object re-enters the field-of-view of the camera, a data-driven, global sliding window detector locates the object for subsequent tracking.
1 code implementation • 21 Jul 2020 • Andres Ussa, Chockalingam Senthil Rajen, Deepak Singla, Jyotibdha Acharya, Gideon Fu Chuanrong, Arindam Basu, Bharath Ramesh
Deep learning inference that needs to largely take place on the 'edge' is a highly computational and memory intensive workload, making it intractable for low-power, embedded platforms such as mobile nodes and remote security applications.
no code implementations • 31 May 2020 • Vivek Mohan, Deepak Singla, Tarun Pulluri, Andres Ussa, Pradeep Kumar Gopalakrishnan, Pao-Sheng Sun, Bharath Ramesh, Arindam Basu
To the best of our knowledge, this is the first time a stationary DVS based traffic monitoring solution is extensively compared to simultaneously recorded RGB frame-based methods while showing tremendous promise by outperforming state-of-the-art deep learning solutions.
no code implementations • 19 Mar 2020 • Deepak Singla, Soham Chatterjee, Lavanya Ramapantulu, Andres Ussa, Bharath Ramesh, Arindam Basu
Applications in the Internet of Video Things (IoVT) domain have very tight constraints with respect to power and area.
no code implementations • 22 Oct 2019 • Andres Ussa, Luca Della Vedova, Vandana Reddy Padala, Deepak Singla, Jyotibdha Acharya, Charles Zhang Lei, Garrick Orchard, Arindam Basu, Bharath Ramesh
With the success of deep learning, object recognition systems that can be deployed for real-world applications are becoming commonplace.
no code implementations • 4 Oct 2019 • Jyotibdha Acharya, Andres Ussa Caycedo, Vandana Reddy Padala, Rishi Raj Sidhu Singh, Garrick Orchard, Bharath Ramesh, Arindam Basu
In this paper, we present EBBIOT-a novel paradigm for object tracking using stationary neuromorphic vision sensors in low-power sensor nodes for the Internet of Video Things (IoVT).
no code implementations • 24 Apr 2019 • Bharath Ramesh, Andres Ussa, Luca Della Vedova, Hong Yang, Garrick Orchard
We present the first purely event-based, energy-efficient approach for object detection and categorization using an event camera.
no code implementations • 30 Oct 2017 • Bharath Ramesh, Hong Yang, Garrick Orchard, Ngoc Anh Le Thi, Shihao Zhang, Cheng Xiang
We introduce a generic visual descriptor, termed as distribution aware retinal transform (DART), that encodes the structural context using log-polar grids for event cameras.
no code implementations • 13 Jan 2017 • Anli Lim, Bharath Ramesh, Yue Yang, Cheng Xiang, Zhi Gao, Feng Lin
This paper describes the development of a novel algorithm to tackle the problem of real-time video stabilization for unmanned aerial vehicles (UAVs).