Results 31 to 40 of about 443,413 (287)
, 2016 A novel algorithm and implementation of real-time identification and tracking of blob-filaments in fusion reactor data is presented. Similar spatio-temporal features are important in many other applications, for example, ignition kernels in combustion ...
Chang, Cs +7 more
core +1 more source
Robust pedestrian detection and tracking in crowded scenes [PDF]
, 2009 In this paper, a robust computer vision approach to detecting and tracking pedestrians in unconstrained crowded scenes is presented. Pedestrian detection is performed via a 3D clustering process within a region-growing framework.
Kelly, Philip +2 more
core +1 more source
SFFSORT Multi-Object Tracking by Shallow Feature Fusion for Vehicle Counting
IEEE Access, 2023 Standard Multi-Object Tracking (MOT) frameworks are currently categorised into three categories: tracking-by-detection, joint detection, and tracking and attention mechanisms.
Tian Zhonglin +5 more
doaj +1 more source
Deformable Object Tracking with Gated Fusion
, 2019 The tracking-by-detection framework receives growing attentions through the integration with the Convolutional Neural Networks (CNNs). Existing tracking-by-detection based methods, however, fail to track objects with severe appearance variations. This is
Chen, Dengsheng +7 more
core +1 more source
Ball Tracking Based on Multiscale Feature Enhancement and Cooperative Trajectory Matching
Applied SciencesMost existing object tracking research focuses on pedestrians and autonomous driving while ignoring sports scenes. When general object tracking models are used for ball tracking, there are often problems, such as detection omissions due to small object ...
Xiao Han, Qi Wang, Yongbin Wang
doaj +1 more source
Fast detection of multiple objects in traffic scenes with a common detection framework
, 2015 Traffic scene perception (TSP) aims to real-time extract accurate on-road environment information, which in- volves three phases: detection of objects of interest, recognition of detected objects, and tracking of objects in motion.
Hengel, Anton van den +4 more
core +1 more source
Real-time smart and standalone vision/IMU navigation sensor [PDF]
, 2016 In this paper, we present a smart, standalone, multi-platform stereo vision/IMU-based navigation system, providing ego-motion estimation. The real-time visual odometry algorithm is run on a nano ITX single-board computer (SBC) of 1.9 GHz CPU and 16-core ...
D Nister +16 more
core +2 more sources
Joint Object Detection and Multi-Object Tracking Based on Hypergraph Matching
Applied SciencesAddressing the challenges in online multi-object tracking algorithms under complex scenarios, where the independence among feature extraction, object detection, and data association modules leads to both error accumulation and the difficulty of ...
Zhoujuan Cui +3 more
doaj +1 more source
Automatic detection, tracking and counting of birds in marine video content [PDF]
, 2016 Robust automatic detection of moving objects in a marine context is a multi-faceted problem due to the complexity of the observed scene. The dynamic nature of the sea caused by waves, boat wakes, and weather conditions poses huge challenges for the ...
Hernandez, Francisco +3 more
core +1 more source
Optimal detection and tracking of feature points using mutual information [PDF]
2009 16th IEEE International Conference on Image Processing (ICIP), 2009 This paper proposes a new way to achieve feature point tracking using the entropy of the image. Sum of Squared Differences (SSD) is widely considered in differential trackers such as the KLT. Here, we consider another metric called Mutual Information (MI), which is far less sensitive to changes in the lighting condition and to a wide class of non ...
Dame, A., Marchand, Eric
openaire +2 more sources