Srikrishna Karanam

I am a Ph.D. candidate in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute. My adviser is Prof. Rich Radke.

Before coming to RPI, I received a Bachelor of Technology degree in Electronics and Communication Engineering from the National Institute of Technology Warangal, India.

Email  /  CV

Research

I am interested in computer vision, video processing, machine learning and optimization. I am particularly interested in video analytics problems as they occur in large networks of cameras. For an overview of my current work, please see this article from ALERT@Northeastern.

karanam-gou-arxiv16

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Srikrishna Karanam*, Mengran Gou*, Ziyan Wu, Angels Rates-Borras, Octavia Camps, Richard J. Radke
arXiv:1605.09653v3
* equal contribution
supplemental material

We are conducting a systematic study of existing features, metric learning, and multi-shot ranking algorithms for re-id. Please also see this collection and review of re-id datasets by Mengran.

karanam-ivc16

Person Re-Identification with Block Sparse Recovery
Srikrishna Karanam, Yang Li, Richard J. Radke
Image and Vision Computing (IVC), to appear February 2017

We formulate multi-shot re-identification as a block sparse recovery problem. This subsumes our CVPR-W 2015 paper.

karanam-csvt16

From the Lab to the Real World: Re-Identification in an Airport Camera Network
Octavia Camps, Mengran Gou, Tom Hebble, Srikrishna Karanam, Oliver Lehmann, Yang Li, Richard J. Radke, Ziyan Wu, Fei Xiong
IEEE Transactions on Circuits and Systems for Video Technology (CSVT), to appear December 2016

This paper describes our real-time end-to-end person re-identification system. This subsumes our ICDSC 2014 paper.

karanam-iccv15

Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries
Srikrishna Karanam, Yang Li, Richard J. Radke
International Conference on Computer Vision (ICCV), 2015
spotlight / code / CMC

We learn a dictionary capable of discriminatively and sparsely encoding gallery and probe features.

karanam-bmvc15

Particle Dynamics and Multi-Channel Feature Dictionaries for Robust Visual Tracking
Srikrishna Karanam, Yang Li, Richard J. Radke
British Machine Vision Conference (BMVC), 2015   (Oral Presentation)
supplement / videos / slides / code

We construct multi-channel feature dictionaries as part of the target appearance model and exploit particle dynamical information to improve tracking accuracy.

li-bmvc15

Multi-Shot Human Re-Identification Using Adaptive Fisher Discriminant Analysis
Yang Li, Ziyan Wu, Srikrishna Karanam, Richard J. Radke
British Machine Vision Conference (BMVC), 2015

We combine Fisher discriminant analysis and hierarchical image sequence clustering to adaptively learn a discriminative feature space.

karanam-msf15

Sparse Re-Id: Block Sparsity for Person Re-Identification
Srikrishna Karanam, Yang Li, Richard J. Radke
CVPR Workshop on Multi-Sensor Fusion for Dynamic Scene Understanding (MSF), 2015

We formulate multi-shot re-identification as a block sparse recovery problem.

li-icsdc15

Real-World Re-Identification in an Airport Camera Network
Yang Li, Ziyan Wu, Srikrishna Karanam, Richard J. Radke
International Conference on Distributed Smart Cameras (ICDSC), 2014
Demo video

This paper describes a preliminary version of our real-time end-to-end person re-identification system.


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