Handcrafted and deep trackers: Recent visual object tracking approaches and trends
In recent years, visual object tracking has become a very active research area. An
increasing number of tracking algorithms are being proposed each year. It is because …
increasing number of tracking algorithms are being proposed each year. It is because …
Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking
H Nenavath, RK Jatoth - Applied Soft Computing, 2018 - Elsevier
A new optimization algorithm called Hybrid Sine-Cosine Algorithm with Differential Evolution
algorithm (Hybrid SCA-DE) is proposed in this paper for solving optimization problems and …
algorithm (Hybrid SCA-DE) is proposed in this paper for solving optimization problems and …
A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking
Due to its simplicity and efficiency, a recently proposed optimization algorithm, Sine Cosine
Algorithm (SCA), has gained the interest of researchers from various fields for solving …
Algorithm (SCA), has gained the interest of researchers from various fields for solving …
[PDF][PDF] 基于相关滤波的目标跟踪算法研究综述.
孟晓燕, 段建民 - Journal of Beijing University of Technology, 2020 - journal.bjut.edu.cn
摘摇要: 基于相关滤波理论的判别式跟踪方法由于其高效性和鲁棒性, 已经取得了一系列的进展,
成为了目标跟踪领域的研究热门. 为了使更多国内外学者对相关滤波目标跟踪理论及其发展进行 …
成为了目标跟踪领域的研究热门. 为了使更多国内外学者对相关滤波目标跟踪理论及其发展进行 …
Hybrid SCA–TLBO: a novel optimization algorithm for global optimization and visual tracking
H Nenavath, RK Jatoth - Neural Computing and Applications, 2019 - Springer
A novel optimization algorithm called hybrid sine–cosine algorithm with teaching–learning-
based optimization algorithm (SCA–TLBO) is proposed in this paper, for solving optimization …
based optimization algorithm (SCA–TLBO) is proposed in this paper, for solving optimization …
Visual tracking with weighted adaptive local sparse appearance model via spatio-temporal context learning
Sparse representation has been widely exploited to develop an effective appearance model
for object tracking due to its well discriminative capability in distinguishing the target from its …
for object tracking due to its well discriminative capability in distinguishing the target from its …
Spatially regularized structural support vector machine for robust visual tracking
Structural support vector machine (SSVM) is popular in the visual tracking field as it provides
a consistent target representation for both learning and detection. However, the spatial …
a consistent target representation for both learning and detection. However, the spatial …
Robust facial landmark tracking via cascade regression
Recently, tremendous improvements have been achieved for facial landmark localization on
static images. However, detecting and tracking facial shapes in sequential images is still …
static images. However, detecting and tracking facial shapes in sequential images is still …
Visual object tracking with multi-scale superpixels and color-feature guided kernelized correlation filters
While discriminative correlation filter based tracking algorithms have achieved competitive
results and demonstrated successfully, there still remain some challenges, such as handling …
results and demonstrated successfully, there still remain some challenges, such as handling …
Parallel attentive correlation tracking
Psychological and cognitive findings indicate that human visual perception is attentive and
selective, which may process spatial and appearance selective attentions in parallel. By …
selective, which may process spatial and appearance selective attentions in parallel. By …