Search Results for author: Bharath Ramesh

Found 10 papers, 2 papers with code

Superevents: Towards Native Semantic Segmentation for Event-based Cameras

no code implementations13 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.

Depth Estimation Semantic Segmentation +1

e-TLD: Event-based Framework for Dynamic Object Tracking

1 code implementation2 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.

Object Object Tracking

A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems

1 code implementation21 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.

General Classification Object +2

EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Dynamic Vision Sensors

no code implementations31 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.

Region Proposal

EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors

no code implementations4 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).

Object Tracking

PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras

no code implementations24 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.

Dimensionality Reduction feature selection +5

DART: Distribution Aware Retinal Transform for Event-based Cameras

no code implementations30 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.

Event-based vision General Classification +3

Real-Time Optical flow-based Video Stabilization for Unmanned Aerial Vehicles

no code implementations13 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).

Video Stabilization

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