作者: somnambulism 時間: 2025-3-21 21:54 作者: Assault 時間: 2025-3-22 02:37
https://doi.org/10.1057/9781137517173rs. The recognition effects of our framework are evaluated on three benchmark datasets: KTH, Weizmann, and YouTube. The experimental results demonstrate that the hybrid descriptor, facilitated with VLAD encoding method, outperforms traditional descriptors by a large margin.作者: 勛章 時間: 2025-3-22 07:27 作者: –DOX 時間: 2025-3-22 08:44 作者: pantomime 時間: 2025-3-22 16:35
Action Recognition Using Hybrid Feature Descriptor and VLAD Video Encodingrs. The recognition effects of our framework are evaluated on three benchmark datasets: KTH, Weizmann, and YouTube. The experimental results demonstrate that the hybrid descriptor, facilitated with VLAD encoding method, outperforms traditional descriptors by a large margin.作者: pantomime 時間: 2025-3-22 18:56 作者: Tidious 時間: 2025-3-22 23:59
Hand Detection and Tracking in Videos for Fine-Grained Action Recognitionbjects. We validate our method of detecting and tracking hands on VideoPose2.0 dataset and apply our method of classifying actions to the playing-instrument group of UCF-101 dataset. Experimental results show the effectiveness of our approach.作者: grandiose 時間: 2025-3-23 04:20
Online Learning of Binary Feature Indexing for Real-Time SLAM Relocalizationmate nearest neighbor search than LSH. By distributing the online learning into the simultaneous localization and mapping (SLAM) process, we successfully apply the method to SLAM relocalization. Experiments show that camera poses can be successfully recovered in real time even there are tens of thousands of landmarks in the map.作者: Incorruptible 時間: 2025-3-23 06:14
Linnaeus and the Four Corners of the WorldWe compare the performance of the proposed motion boundary trajectory approach with other state-of-the-art approaches, e.g., trajectory based approach, on a number of human action benchmark datasets (YouTube, UCF sports, Olympic Sports, HMDB51, Hollywood2 and UCF50), and found that the proposed approach gives improved recognition results.作者: notice 時間: 2025-3-23 13:44 作者: 懸掛 時間: 2025-3-23 17:54
Motion Boundary Trajectory for Human Action RecognitionWe compare the performance of the proposed motion boundary trajectory approach with other state-of-the-art approaches, e.g., trajectory based approach, on a number of human action benchmark datasets (YouTube, UCF sports, Olympic Sports, HMDB51, Hollywood2 and UCF50), and found that the proposed approach gives improved recognition results.作者: 嫻熟 時間: 2025-3-23 19:13 作者: 娘娘腔 時間: 2025-3-23 23:40
Linnaeus and the Four Corners of the Worldtion, our approach does not require prior training. We thoroughly demonstrate the superiority of our method in gait-based human identification compared to state-of-the-art approaches. We use the OU-ISIR Large Population dataset, with over 4000 subjects captured at different viewing angles, to provide statistically reliable results.作者: Expurgate 時間: 2025-3-24 03:29
https://doi.org/10.1057/9781137338211bjects. We validate our method of detecting and tracking hands on VideoPose2.0 dataset and apply our method of classifying actions to the playing-instrument group of UCF-101 dataset. Experimental results show the effectiveness of our approach.作者: GRIN 時間: 2025-3-24 09:33
https://doi.org/10.1007/978-3-030-99154-8mate nearest neighbor search than LSH. By distributing the online learning into the simultaneous localization and mapping (SLAM) process, we successfully apply the method to SLAM relocalization. Experiments show that camera poses can be successfully recovered in real time even there are tens of thousands of landmarks in the map.作者: 靦腆 時間: 2025-3-24 11:20 作者: ETHER 時間: 2025-3-24 17:10 作者: POLYP 時間: 2025-3-24 19:28
https://doi.org/10.1057/9781137338211y the fused feature. Finally, our method is tested on CASIA gait dataset. Experiments show that gait biometric is an effective feature integrated with appearance features to enhance person re-identification.作者: Mhc-Molecule 時間: 2025-3-25 00:28
https://doi.org/10.1057/9781137338211uman walking model that represents the average motion process of human walking. Our work makes the gait recognition more robust to noise. Experiments on widely adopted databases prove that our proposed method achieves excellent performance.作者: phytochemicals 時間: 2025-3-25 07:24 作者: 痛恨 時間: 2025-3-25 08:50 作者: 石墨 時間: 2025-3-25 12:29
Hannah Curran-Troop,Rosalind Gill,Jo Littlerdistance between two gait spaces is the same as distance between two points on a Grassmann manifold. Person identification is, therefore, carried out on-the-fly based on the uniqueness of gait, using Grassmann discriminant analysis.作者: TEM 時間: 2025-3-25 16:27 作者: Rankle 時間: 2025-3-25 23:52
The Cultural Politics of Femvertisingssified by trained boosted decision trees and labeled with semantic classes e.g. tree, pedestrian, car, etc. The proposed method is evaluated both quantitatively and qualitatively on a challenging fixed-position . (TLS) Velodyne data set and two . (MLS), Paris-rue-Madam and NAVTEQ True databases. Ro作者: 護(hù)航艦 時間: 2025-3-26 00:23 作者: 新義 時間: 2025-3-26 07:44
https://doi.org/10.1057/978-1-137-47755-2tep of the DBSR can be changed to simpler consistency check method. In this way the DBSR computational complexity is reduced by 26?% with 0.2?% dBR average bitrate reduction for coded views and 0.1?% average bitrate increase for synthesized views. We show that proposed scheme outperforms the anchor 作者: 樹木中 時間: 2025-3-26 10:41 作者: 的是兄弟 時間: 2025-3-26 13:02
Enhancing Person Re-identification by Integrating Gait Biometricy the fused feature. Finally, our method is tested on CASIA gait dataset. Experiments show that gait biometric is an effective feature integrated with appearance features to enhance person re-identification.作者: AV-node 時間: 2025-3-26 18:44 作者: 彎曲道理 時間: 2025-3-27 00:47 作者: gastritis 時間: 2025-3-27 02:13
3D Activity Recognition Using Motion History and Binary Shape Templatesoverlaying all the body silhouettes in a block, separately for each view. To effectively trace shape-growth, BSTs are built additively along the blocks..Consequently, the complete ensemble of gradient features carries both 3D shape and motion information to effectively model the dynamics of an artic作者: vertebrate 時間: 2025-3-27 09:01
Gait Recognition Based Online Person Identification in a Camera Networkdistance between two gait spaces is the same as distance between two points on a Grassmann manifold. Person identification is, therefore, carried out on-the-fly based on the uniqueness of gait, using Grassmann discriminant analysis.作者: 小平面 時間: 2025-3-27 12:28 作者: 刺耳 時間: 2025-3-27 15:11
Object Recognition in 3D Point Cloud of Urban Street Scenessified by trained boosted decision trees and labeled with semantic classes e.g. tree, pedestrian, car, etc. The proposed method is evaluated both quantitatively and qualitatively on a challenging fixed-position . (TLS) Velodyne data set and two . (MLS), Paris-rue-Madam and NAVTEQ True databases. Ro作者: amphibian 時間: 2025-3-27 19:22 作者: entail 時間: 2025-3-28 00:53
Evaluation of Depth-Based Super Resolution on Compressed Mixed Resolution 3D Videotep of the DBSR can be changed to simpler consistency check method. In this way the DBSR computational complexity is reduced by 26?% with 0.2?% dBR average bitrate reduction for coded views and 0.1?% average bitrate increase for synthesized views. We show that proposed scheme outperforms the anchor 作者: 非實體 時間: 2025-3-28 05:41
0302-9743 Vision Technology, the Third Workshop on E-Heritage and the Workshop on Computer Vision for Affective Computing. LNCS 9010 contains the papers selected for the Workshop on Feature and Similari978-3-319-16627-8978-3-319-16628-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 發(fā)現(xiàn) 時間: 2025-3-28 08:58
A New Gait-Based Identification Method Using Local Gauss Mapsing body shapes as silhouettes averaged over gait cycles. Our method, however, captures geometric properties of the silhouettes boundaries. Namely, we evaluate contour curvatures locally using Gauss maps. This results in an improved shape representation, as contrasted to average silhouettes. In addi作者: infatuation 時間: 2025-3-28 11:08 作者: liposuction 時間: 2025-3-28 16:44 作者: 富饒 時間: 2025-3-28 22:35 作者: 思考 時間: 2025-3-29 00:25 作者: 蘆筍 時間: 2025-3-29 03:13
Unsupervised Temporal Ensemble Alignment for Rapid Annotationiom that an ensemble of temporal signals stemming from the same source/class should have lower rank when “aligned” rather than “misaligned”. Our approach shares similarities with recent state of the art methods for unsupervised images ensemble alignment (e.g. RASL) which breaks the problem into a se作者: Meditative 時間: 2025-3-29 07:53
Motion Boundary Trajectory for Human Action Recognition, second, the resulting motion boundary trajectories extracted from videos, together with other local descriptors in the neighbourhood of the extracted motion boundary trajectories, histogram of oriented gradients, histogram of optical flow, motion boundary histogram, can be used as local descriptor作者: Horizon 時間: 2025-3-29 12:40
Action Recognition Using Hybrid Feature Descriptor and VLAD Video Encodingtence of intra-class diversity and inter-class overlaps among different action categories. The key trick of action recognition lies in the extraction of more comprehensive features to cover the action, as well as a compact and discriminative video encoding representation. Based on this observation, 作者: 突變 時間: 2025-3-29 16:59 作者: 有斑點 時間: 2025-3-29 23:34
3D Activity Recognition Using Motion History and Binary Shape Templatesas compared to the state-of-the-art for characterizing depth sequences. Activity enactment video is divided into temporally overlapping blocks. Each block (set of image frames) is used to generate Motion History Templates (MHTs) and Binary Shape Templates (BSTs) over three different views - front, s作者: 笨拙處理 時間: 2025-3-30 00:31
Gait Recognition Based Online Person Identification in a Camera Networksis. We propose an online method wherein the gait space of individuals are created as they are tracked. The gait space is view invariant and the recognition process is carried out in a distributed manner. We assume that only a fixed known set of people are allowed to enter the area under observation作者: 會犯錯誤 時間: 2025-3-30 08:08
Gesture Recognition Performance Score: A New Metric to Evaluate Gesture Recognition Systemsult task. The available algorithms have different strengths and weaknesses making the matching between algorithms and applications complex. Accurate evaluation of the performance of a gesture recognition algorithm is a cumbersome task. Performance evaluation by recognition accuracy alone is not suff作者: FAST 時間: 2025-3-30 08:31
Object Recognition in 3D Point Cloud of Urban Street SceneiDAR laser scanner. An important problem in object recognition is the need for sufficient labeled training data to learn robust classifiers. In this paper we show how to significantly reduce the need for manually labeled training data by reduction of scene complexity using non-supervised ground and 作者: intellect 時間: 2025-3-30 15:12 作者: florid 時間: 2025-3-30 19:01 作者: Organonitrile 時間: 2025-3-30 22:24
Depth-Based Real-Time Hand Tracking with Occlusion Handling Using Kalman Filter and DAM-Shiftift) algorithm for occlusion handling. DAM-Shift is a useful algorithm for hand tracking, but difficult to track when occlusion occurs. To detect the hand region, we use a classifier that combines a boosting and a cascade structure. To verify occlusion, we predict in real time the center position of作者: Malleable 時間: 2025-3-31 02:50 作者: 鎮(zhèn)壓 時間: 2025-3-31 08:38 作者: Exonerate 時間: 2025-3-31 11:58 作者: PALL 時間: 2025-3-31 17:26
Computer Vision - ACCV 2014 Workshops978-3-319-16628-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Omnipotent 時間: 2025-3-31 20:54
Linnaeus and the Four Corners of the Worlding body shapes as silhouettes averaged over gait cycles. Our method, however, captures geometric properties of the silhouettes boundaries. Namely, we evaluate contour curvatures locally using Gauss maps. This results in an improved shape representation, as contrasted to average silhouettes. In addi作者: 野蠻 時間: 2025-4-1 00:19
https://doi.org/10.1057/9781137338211 color, upper body position and flow information. We apply our hand detection results to perform fine-grained human action recognition. We demonstrate that motion features extracted from hand areas can help classify actions even when they look familiar and they are associated with visually similar o
