Latent structured models for human pose estimation

C Ionescu, F Li, C Sminchisescu - … International Conference on …, 2011 - ieeexplore.ieee.org
We present an approach for automatic 3D human pose reconstruction from monocular
images, based on a discriminative formulation with latent segmentation inputs. We …

A real-time object detecting and tracking system for outdoor night surveillance

K Huang, L Wang, T Tan, S Maybank - Pattern Recognition, 2008 - Elsevier
Autonomous video surveillance and monitoring has a rich history. Many deployed systems
are able to reliably track human motion in indoor and controlled outdoor environments …

[HTML][HTML] A convolutional neural network-based method for corn stand counting in the field

L Wang, L **ang, L Tang, H Jiang - Sensors, 2021 - mdpi.com
Accurate corn stand count in the field at early season is of great interest to corn breeders
and plant geneticists. However, the commonly used manual counting method is time …

Camera exposure control for robust robot vision with noise-aware image quality assessment

U Shin, J Park, G Shim, F Rameau… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
In this paper, we propose a noise-aware exposure control algorithm for robust robot vision.
Our method aims to capture best-exposed images, which can boost the performance of …

Automated sperm immobilization for intracytoplasmic sperm injection

C Leung, Z Lu, N Esfandiari… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Sperm immobilization is a requisite step in intracytoplasmic sperm injection (ICSI).
Conventionally, sperm immobilization is performed manually, which entails long training …

Ship target detection and tracking in cluttered infrared imagery

J Wu, S Mao, X Wang, T Zhang - Optical Engineering, 2011 - spiedigitallibrary.org
This paper proposes a robust detection and tracking method that can detect and track ship
targets in cluttered forward looking infrared image sequences. The proposed method …

Improving robustness of infrared target tracking algorithms based on template matching

F Lamberti, A Sanna, G Paravati - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
A methodology for improving the robustness of target tracking algorithms for forward looking
infrared (FLIR) imagery is presented. The designed technique exploits a motion prediction …

Moving target detection in thermal infrared imagery using spatiotemporal information

A Akula, R Ghosh, S Kumar… - Journal of the Optical …, 2013 - opg.optica.org
An efficient target detection algorithm for detecting moving targets in infrared imagery using
spatiotemporal information is presented. The output of the spatial processing serves as input …

[PDF][PDF] Target-tracking in FLIR imagery using mean-shift and global motion compensation

A Yilmaz, K Shafique, N Lobo, X Li, T Olson… - IEEE Workshop on …, 2001 - academia.edu
In this paper, we present a new approach for tracking targets in forward-looking infrared
(FLIR) imagery taken from an airborne, moving platform. Our tracking approach uses the …

Object tracking in unmanned aerial vehicle (uav) videos using a combined approach

S Zhang - … .(ICASSP'05). IEEE International Conference on …, 2005 - ieeexplore.ieee.org
UAV videos are difficult to process because of fast abrupt motion, low resolution, noisy
imagery, cluttered background, low contrast, and small target size. In particular, object size …