Results 11 to 20 of about 572,432 (293)
Frontiers in Plant Science, 2022 Maize population density is one of the most essential factors in agricultural production systems and has a significant impact on maize yield and quality. Therefore, it is essential to estimate maize population density timely and accurately.
Yang Li +6 more
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A Convolutional Neural Network-Based Method for Corn Stand Counting in the Field
Sensors, 2021 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 consuming, laborious, and prone to error.
Le Wang +3 more
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Ecología Austral, 2022 Here, we present a set of algorithms using the Python programming language, that will allow using a routine for object detection and tracking in experimental videos.
Jesús D. Nuñez +2 more
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Measures of Effective Video Tracking [PDF]
IEEE Transactions on Image Processing, 2014 To evaluate multitarget video tracking results, one needs to quantify the accuracy of the estimated target-size and the cardinality error as well as measure the frequency of occurrence of ID changes. In this paper, we survey existing multitarget tracking performance scores and, after discussing their limitations, we propose three parameter-independent ...
Nawaz, Tahir +2 more
openaire +3 more sources
Progressive tracking: a novel procedure to facilitate manual digitization of videos
Biology Open, 2020 Digitization of video recordings often requires the laborious procedure of manually clicking points of interest on individual video frames. Here, we present progressive tracking, a procedure that facilitates manual digitization of markerless videos.
Maja Mielke +4 more
doaj +1 more source
Object Tracking Based on Satellite Videos: A Literature Review
Remote Sensing, 2022 Video satellites have recently become an attractive method of Earth observation, providing consecutive images of the Earth’s surface for continuous monitoring of specific events.
Zhaoxiang Zhang +3 more
doaj +1 more source
Multi-detector Fusion-based Depth Correlation Filtering Video Multi-target Tracking Algorithm [PDF]
Jisuanji kexue, 2022 In the detection and tracking task,the detector has mis-detected and missed targets.For video multi-target tracking algorithms that rely on detection information,there will be a large number of false tracking targets and missed targets.Such missed and ...
SHEN Xiang-pei, DING Yan-rui
doaj +1 more source
Video Tracking Using Learned Hierarchical Features [PDF]
IEEE Transactions on Image Processing, 2015 In this paper, we propose an approach to learn hierarchical features for visual object tracking. First, we offline learn features robust to diverse motion patterns from auxiliary video sequences. The hierarchical features are learned via a two-layer convolutional neural network.
Wang, Gang +4 more
openaire +3 more sources
Comparison of fusion methods for thermo-visual surveillance tracking [PDF]
, 2006 In this paper, we evaluate the appearance tracking performance of multiple fusion schemes that combine information from standard CCTV and thermal infrared spectrum video for the tracking of surveillance objects, such as people, faces, bicycles and ...
Cooke, Eddie +3 more
core +2 more sources
Performance Evaluation of Visual Tracking Algorithms on Video Sequences With Quality Degradation
IEEE Access, 2017 Recently, there are lots of visual tracking algorithms proposed to improve the performance of object tracking in video sequences with various real conditions, such as severe occlusion, complicated background, fast motion, and so on.
Yuming Fang +5 more
doaj +1 more source