Latent structured models for human pose estimation
We present an approach for automatic 3D human pose reconstruction from monocular
images, based on a discriminative formulation with latent segmentation inputs. We …
images, based on a discriminative formulation with latent segmentation inputs. We …
A real-time object detecting and tracking system for outdoor night surveillance
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 …
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
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 …
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
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 …
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 …
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 …
targets in cluttered forward looking infrared image sequences. The proposed method …
Improving robustness of infrared target tracking algorithms based on template matching
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 …
infrared (FLIR) imagery is presented. The designed technique exploits a motion prediction …
Moving target detection in thermal infrared imagery using spatiotemporal information
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 …
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
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 …
(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 …
imagery, cluttered background, low contrast, and small target size. In particular, object size …