This comprehensive survey presents an in-depth analysis of the evolution and significant advancements in object detection, emphasizing the critical role of machine learning (ML) and deep learning (DL) techniques.

This work seeks to address these challenges by investigating the effectiveness of deep learning (DL) methods in object detection tasks. Leveraging DL allows for the direct learning of feature representations from image data, resulting in advanced performance.

Seemanthini K et al. [3] propose a novel approach to human object detection based on cluster segmentation where each frame undergoes cluster segmentation, followed by feature extraction using the Histogram of Oriented Gradients (HOG) and finally, classification is performed using the Support Vector Machine (SVM) algorithm. A histogram is an ...

Oct 21, 2024 · By bridging the gap between traditional methods and modern deep learning frameworks, valuable insights are offered for researchers, data scientists, and engineers aiming to apply AI-driven methodologies to large-scale object detection tasks.

Jan 3, 2024 · Object detection is a computer vision task that aims to locate objects in digital images.

Notably, image classification, object detection, and image segmentation are crucial tasks requiring robust mathematical foundations. Despite the advancements, challenges persist, such as clarifying terminology related to artificial intelligence, machine learning, and deep learning.

Significant advances in object detection have been achieved through improved object representation and the use of deep neural network models. This paper examines more closely how object detection has evolved in the era of deep learning over the past years.

Nov 17, 2023 · Object detection refers to the process of identifying and localizing objects within an image or video. Unlike image classification, which focuses on identifying a single object within an image, object detection aims to detect and classify multiple objects simultaneously.

1 day ago · Su, H. et al. Object detection and instance segmentation in remote sensing imagery based on precise mask R-CNN, in IGARSS 2019–2019 IEEE International Geoscience and Remote Sensing Symposium ...

Jan 1, 2020 · In recent years, several deep learning-based object detection methods have shown excellent results, including higher precision and higher recall. 1 They exceed most traditional feature extraction and classification-based methods …