Results 131 to 140 of about 4,817,825 (346)

Dublin City University at TRECVID 2008 [PDF]

open access: yes, 2008
In this paper we describe our system and experiments performed for both the automatic search task and the event detection task in TRECVid 2008. For the automatic search task for 2008 we submitted 3 runs utilizing only visual retrieval experts, continuing
Ó Conaire, Ciarán   +6 more
core  

Speed up deep neural network based pedestrian detection by sharing features across multi-scale models

open access: yes, 2016
Deep neural networks (DNNs) have now demonstrated state-of-the-art detection performance on pedestrian datasets. However, because of their high computational complexity, detection efficiency is still a frustrating problem even with the help of Graphics ...
Pang, Yanwei   +3 more
core   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

open access: yesAdvanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang   +14 more
wiley   +1 more source

Pedestrian Detection [PDF]

open access: yesTransactions on Transport Sciences, 2009
J. Obermann, J. Kovanda
openaire   +2 more sources

Histogram of Template for Pedestrian Detection

open access: yesIEICE Transactions on Information and Systems, 2010
n this paper, we propose a novel feature named histogram of template (HOT) for human detection in still images. For every pixel of an image, various templates are defined, each of which contains the pixel itself and two of its neighboring pixels. If the texture and gradient values of the three pixels satisfy a pre-defined formula, the central pixel is ...
TANG, Shaopeng, GOTO, Satoshi
openaire   +2 more sources

Statistical layout of improved image descriptor for pedestrian detection

open access: yes, 2010
An automatic and robust approach for pedestrian detection is proposed in natural scene images, even in the presence of clutter and occlusion. An improved statistical descriptor is designed to encode more support vectors, and the dimensionality reduction ...
Zhuang Y(庄严)   +2 more
core  

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

open access: yesAdvanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

Analysis of Regionlets for Pedestrian Detection

open access: yesProceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017
Human detection is an important task for many autonomous robots as well as automated driving systems. The Regionlets detector was one of the best-performing approaches for pedestrian detection on the KITTI dataset during 2015. We analysed the Regionlets detector and its performance.
Niels Ole Salscheider   +2 more
openaire   +2 more sources

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan   +14 more
wiley   +1 more source

Vision Based Pedestrian Detection for Driver Assisted System

open access: yes, 2007
This paper presents the research proposal of a Vision based pedestrian detection for driver assisted system. For this project, it was proposed to study vision based pedestrian detection by means of computational shape analysis and recognition where the ...
M. Amir Abas   +4 more
core  

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