3 papers
cs.CV2021
Deep Convolutional Correlation Iterative Particle Filter for Visual Tracking
Reza Jalil Mozhdehi, Henry Medeiros
This work proposes a novel framework for visual tracking based on the integration of an iterative particle filter, a deep convolutional neural network, and a correlation filter. Th…
cs.CV2020
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation
Abubakar Siddique, Reza Jalil Mozhdehi, Henry Medeiros
Assigning consistent temporal identifiers to multiple moving objects in a video sequence is a challenging problem. A solution to that problem would have immediate ramifications in…
cs.CV2020
Deep Convolutional Likelihood Particle Filter for Visual Tracking
Reza Jalil Mozhdehi, Henry Medeiros
We propose a novel particle filter for convolutional-correlation visual trackers. Our method uses correlation response maps to estimate likelihood distributions and employs these l…