Đang chuẩn bị liên kết để tải về tài liệu:
Human activity detection and action recognition in videos using convolutional neural networks

Không đóng trình duyệt đến khi xuất hiện nút TẢI XUỐNG

The main aim of this work is to detect and track human activity, and classify actions for two publicly available video databases. In this work, a novel approach of feature extraction from video sequence by combining Scale Invariant Feature Transform and optical flow computation are used where shape, gradient and orientation features are also incorporated for robust feature formulation. |

TÀI LIỆU LIÊN QUAN

Multiple modal features and multiple kernel learning for human daily activity recognition

Human resource planning for authorized inspection activity

Lecture Human anatomy and physiology - Chapter 13: The peripheral nervous system and reflex activity (part a)

Lecture Human anatomy and physiology - Chapter 13: The peripheral nervous system and reflex activity (part b)

Lecture Human anatomy and physiology - Chapter 13: The peripheral nervous system and reflex activity (part c)

Lecture Human anatomy and physiology - Chapter 13: The peripheral nervous system and reflex activity (part d)

Evaluation of the hypoglycemic and hypolipidemic activity of Butea monosperma fruit in diabetic human subjects

Phytofabrication of biomolecule-coated metallic silver nanoparticles using leaf extracts of in vitro-raised bamboo species and its anticancer activity against human PC3 cell lines

A promising antitumor activity of evodiamine incorporated in hydroxypropyl-β-cyclodextrin: Pro-apoptotic activity in human hepatoma HepG2 cells

Investigation of inhibitory activity and bioactive compounds of piper nigrum seeds on selected human pathogens
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.