scholarly journals A Comparative Review of Recent Kinect-Based Action Recognition Algorithms

2020 ◽  
Vol 29 ◽  
pp. 15-28 ◽  
Author(s):  
Lei Wang ◽  
Du Q. Huynh ◽  
Piotr Koniusz
Keyword(s):  
Action Recognition ◽  
Recognition Algorithms ◽  
Comparative Review

scholarly journals Recognition of Common Non-Normal Walking Actions Based on Relief-F Feature Selection and Relief-Bagging-SVM

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1447
Author(s):  
Pan Huang ◽  
Yanping Li ◽  
Xiaoyi Lv ◽  
Wen Chen ◽  
Shuxian Liu
Keyword(s):  
Feature Selection ◽  
Action Recognition ◽  
Nearest Neighbor ◽  
Health Indicators ◽  
Support Vector ◽  
Normal Walking ◽  
K Nearest Neighbor ◽  
Recognition Algorithms ◽  
Medical Health ◽  
Improved Algorithm

Action recognition algorithms are widely used in the fields of medical health and pedestrian dead reckoning (PDR). The classification and recognition of non-normal walking actions and normal walking actions are very important for improving the accuracy of medical health indicators and PDR steps. Existing motion recognition algorithms focus on the recognition of normal walking actions, and the recognition of non-normal walking actions common to daily life is incomplete or inaccurate, resulting in a low overall recognition accuracy. This paper proposes a microelectromechanical system (MEMS) action recognition method based on Relief-F feature selection and relief-bagging-support vector machine (SVM). Feature selection using the Relief-F algorithm reduces the dimensions by 16 and reduces the optimization time by an average of 9.55 s. Experiments show that the improved algorithm for identifying non-normal walking actions has an accuracy of 96.63%; compared with Decision Tree (DT), it increased by 11.63%; compared with k-nearest neighbor (KNN), it increased by 26.62%; and compared with random forest (RF), it increased by 11.63%. The average Area Under Curve (AUC) of the improved algorithm improved by 0.1143 compared to KNN, by 0.0235 compared to DT, and by 0.04 compared to RF.

scholarly journals Exploiting better motion cues for better action recognition

2021 ◽  
Author(s):  
Jawad Khan
Keyword(s):  
Action Recognition ◽  
Space Time ◽  
Motion Cues ◽  
Large Margin ◽  
Additional Information ◽  
Recognition Algorithms ◽  
Video Description ◽  
Shear Characteristics

Several recent studies on action recognition have emphasised the significance of including motioncharacteristics clearly in the video description. This work shows that properly partitioning visualmotion into dominant and residual motions enhances action recognition algorithms greatly, both interms of extracting space-time trajectories and computing descriptors. Then, using differentialmotion scalar variables, divergence, curl, and shear characteristics, we create a new motiondescriptor, the DCS descriptor. It adds to the results by capturing additional information on localmotion patterns. Finally, adopting the recently proposed VLAD coding technique in image retrievalimproves action recognition significantly. On three difficult datasets, namely Hollywood 2,HMDB51, and Olympic Sports, our three additions are complementary and lead to beat all reportedresults by a large margin.

scholarly journals Application of Crowd Simulations in the Evaluation of Tracking Algorithms

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4960
Author(s):  
Michał Staniszewski ◽  
Paweł Foszner ◽  
Karol Kostorz ◽  
Agnieszka Michalczuk ◽  
Kamil Wereszczyński ◽  
...  
Keyword(s):  
Action Recognition ◽  
Computer Game ◽  
Weather Conditions ◽  
Video Data ◽  
Manual Annotation ◽  
Human Errors ◽  
System A ◽  
Recognition Algorithms ◽  
Crowd Simulations ◽  
Urban Activities

Tracking and action-recognition algorithms are currently widely used in video surveillance, monitoring urban activities and in many other areas. Their development highly relies on benchmarking scenarios, which enable reliable evaluations/improvements of their efficiencies. Presently, benchmarking methods for tracking and action-recognition algorithms rely on manual annotation of video databases, prone to human errors, limited in size and time-consuming. Here, using gained experiences, an alternative benchmarking solution is presented, which employs methods and tools obtained from the computer-game domain to create simulated video data with automatic annotations. Presented approach highly outperforms existing solutions in the size of the data and variety of annotations possible to create. With proposed system, a potential user can generate a sequence of random images involving different times of day, weather conditions, and scenes for use in tracking evaluation. In the design of the proposed tool, the concept of crowd simulation is used and developed. The system is validated by comparisons to existing methods.

A Comparative Review of Three Introductory Texts

1989 ◽  
Vol 34 (9) ◽  
pp. 836-838
Author(s):  
Virginia Greendlinger
Keyword(s):  
Comparative Review

Cystic Bone Lesions in Horses and Humans: A Comparative Review

1998 ◽  
Vol 11 (01) ◽  
pp. 08-18 ◽  
Author(s):  
C. W. McIlwraith ◽  
J. A. Auer ◽  
Brigitte von Rechenberg
Keyword(s):  
Recurrence Rate ◽  
Subchondral Bone ◽  
Fibrous Tissue ◽  
Clinical Signs ◽  
Bone Lesions ◽  
Anatomical Location ◽  
Cystic Lesions ◽  
Bone Cysts ◽  
Biological Behaviour ◽  
Comparative Review

SummaryCases of cystic bone lesions in horses and humans were reviewed in the literature. These lesions are radiolucent areas of bone, recognized as subchondral cystic lesions in the horse (SCL), intra-osseous ganglia (IOG), subchondral bone cysts secondary to osteoarthrosis (OAC), and unicameral bone cysts (UCB) in humans. Their morphology is quite similar, consisting of lesions with a distinct cyst wall, and a cavity filled with fibrous tissue and yellowish mucoid fluid. The lesions are surrounded by sclerotic bone and can be easily diagnosed radiographically. SCL, IOG and OAC occur in the subchondral bone close to the adjacent joint, whereas UCB occur in the metaphysis of long bones. Their aetiology and pathogenesis is still unknown, although primary damage to the subchondral bone, cartilage or local blood supply and growth disturbances are discussed. In this review 703 lesions of SCL in horses, 289 lesions of IOG and 1460 lesions of UCB in humans were compared in their anatomical location and clinical signs. SCL and OAC resembled each other with respect to anatomical location. A correlation of affected bones could not be found for all four groups. Clinical presentation concerning age was most similar for SCL and UCB with both lesions mainly occurring in young individuals. Gender predominance of males was present in SCL, IOG and UCB. Clinical diagnosis was either incidental, or connected with intermittent pain in all lesions except for OAC. Additionally, the lesions were also found in conjunction with degenerative joint disease (SCL, OAC) or pathological fractures (UCB). Cystic bone lesions were either treated conservatively, surgically with curettage alone, curettage in combination with grafting procedures, or intra-lesional application of corticosteroids. SCL and UCB were similar in their biological behaviour concerning their slow response to the therapy and relatively high recurrence rate. None of the cystic bone lesions were comparable, and a common aetiology and pathogenesis could not be found.In a literature review cases of cystic bone lesions in horses and humans were compared with the goal to find a common aetiology and pathogenesis. Cystic bone lesions occur in horses as subchondral cystic lesions (SCL), and in humans as either intra-osseous ganglia (IOG), subchondral cystic lesions secondary to osteoarthrosis (OAC) or unicameral bone cysts (UCB). IOG and OAC compare with SCL mainly in the anatomical location. IOG and SCL resemble each other in size, clinical signs and histology, whereas UCB and SCL show a similar biological behaviour regarding their therapeutic response and recurrence rate. None of the cystic bone lesions in humans were comparable to the SCL in horses in all aspects. A common aetiology and pathogenesis could not be established.

More's usage of Latin verbal predicates: the particular case of fio

Moreana ◽  
2019 ◽  
Vol 56 (Number 211) (1) ◽  
pp. 97-120
Author(s):  
Concepción Cabrillana
Keyword(s):  
General Framework ◽  
Medieval Latin ◽  
Lexical Semantic ◽  
Syntactic Features ◽  
Comparative Review ◽  
Poetic Text

This article addresses Thomas More's use of an especially complex Latin predicate, fio, as a means of examining the degree of classicism in this aspect of his writing. To this end, the main lexical-semantic and syntactic features of the verb in Classical Latin are presented, and a comparative review is made of More's use of the predicate—and also its use in texts contemporaneous to More, as well as in Late and Medieval Latin—in both prose and poetry. The analysis shows that he works within a general framework of classicism, although he introduces some of his own idiosyncrasies, these essentially relating to the meaning of the verb that he employs in a preferential way and to the variety of verbal forms that occur in his poetic text.

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