Results 251 to 260 of about 183,753 (306)

3D Printing of Stretchable, Compressible and Conductive Porous Polyurethane for Soft Robotics

Advanced Materials Technologies, EarlyView.
A 3D‐printable porous dopamine‐polyurethane acrylate elastomer results in conductive, stretchable, and compressible structures that can be metallized in situ through catechol‐mediated silver reduction. The resulting material function as both compliant soft robot with a and strain sensors without complex assemblies, enabling fully 3D‐printed soft ...
Ouriel Bliah, Konstantin Sakharov, Pooi See Lee, Shlomo Magdassi   +3 more
wiley   +1 more source

Maritime urban tracking dataset in harbor environment. [PDF]

Sci Data
Dalhaug N, Nygård TA, Hinostroza M, Flemmen HD, Martens E, Stahl A, Mester R, Brekke EF.   +7 more
europepmc   +1 more source

Robust Rear-View Human Tracking for Robotic Visual Sensing: A Spatiotemporal Prediction and Multi-Modal Fusion Approach. [PDF]

Sensors (Basel)
Jia X, Xie J, Li Y, Liang J, Zhang Z.
europepmc   +1 more source

Dynamic Occlusion-Predictive Neural Network for Robust Roadside Multi-Vehicle Tracking. [PDF]

Sensors (Basel)
Wang S, Wang Y, Wang B, Wei C, Liu H.
europepmc   +1 more source

Lightweight Visual Detection and Dynamic Tracking for Pigeon Egg Inspection in Caged Pigeon Farming. [PDF]

Sensors (Basel)
Li Q, Cheng Y, Xi J, He Z, Ye Q, Zhu C, Kang R, Liu L.   +7 more
europepmc   +1 more source

Multi-Target Tracking in Video

, 2014
Abstract Multi-target tracking in video helps in gathering information from motion patterns to describe behaviors (e.g., sport team formations), to detect events of interest (e.g., crossing streets in forbidden locations) and to facilitate content retrieval (e.g., automatic highlights generation).
Poiesi, Fabio, Cavallaro, Andrea
openaire   +3 more sources

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Improved particle filters for multi-target tracking

Journal of Computational Physics, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vasileios Maroulas
exaly   +3 more sources

Backtracking: Retrospective multi-target tracking

Computer Vision and Image Understanding, 2012
We introduce a multi-target tracking algorithm that operates on prerecorded video as typically found in post-incident surveillance camera investigation. Apart from being robust to visual challenges such as occlusion and variation in camera view, our algorithm is also robust to temporal challenges, in particular unknown variation in frame rate.
W. P. Koppen, Marcel Worring
openaire   +3 more sources

Subgraph decomposition for multi-target tracking

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Tracking multiple targets in a video, based on a finite set of detection hypotheses, is a persistent problem in computer vision. A common strategy for tracking is to first select hypotheses spatially and then to link these over time while maintaining disjoint path constraints [14, 15, 24].
Siyu Tang 0001, Bjoern Andres, Mykhaylo Andriluka, Bernt Schiele   +3 more
openaire   +2 more sources

Signature-driven multi-target tracking

2010 13th International Conference on Information Fusion, 2010
Tracking multiple maneuvering targets remains a challenge because of clutter and spurious targets. We propose a Signature-Driven multiple target Tracking (SDT) method which fuses target data in spectral, spatial and temporary spaces to form signatures of targets.
Jian-Kang Wu, Shuyan Sun, Sheng Jiang 0004, Xiaoyi Ren, Zhipei Huang   +4 more
openaire   +2 more sources