Background: Vision-based dynamic target detection is an important research topic in computer vision, which is the basis for intelligent behavior analysis and event detection. Further research on dynamic target detection methods can help improve target detection and tracking mechanisms while also driving the development of other related fields. Hence, conducting a review on vision-based dynamic target detection is very significant. Objective: There are many methods for dynamic target detection. This paper introduces their classification, characteristics, advantages, disadvantages and development trends. Method: This paper reviews recent patents and representative articles on dynamic target detection in simple visual and complex contexts. The crucial methods of these references are introduced from the aspects of algorithm, innovation, and principle. Results: This paper analyzes and compares the existing dynamic target detection methods, summarizes their characteristics, main applications, and advantages and disadvantages in the current development stage, and discusses the future development and potential problems of dynamic target tracking methods. Conclusion: Vision-based dynamic target detection can accurately extract moving targets from the scene. Due to its inherent complexity, each detection method has its advantages and disadvantages in specific scenes. Currently, the research mainly focuses on the real-time robustness and accuracy of the algorithm, which needs to be further improved in the aspects of algorithm innovation, multi-algorithm fusion, multi-target recognition, and algorithm adaptability. Therefore, relevant research patents and documents should be put forward, initiating the future development trend.

Colorectal cancer (CRC) is one of the most common malignancies occurring in men and women in China, and is associated with a high rate of incidence and mortality [1] . Approximately more than 50% of patients present with advanced disease. Diagnosis of CRC at a later stage results in 5-year survival rates of 67% in patients whose cancer has spread to regional lymph nodes, and 10%-30% for those in whom CRC has spread to distant organs such as the liver [2] .For patients with metastatic disease, surgery has a limited role, because only when it allows a complete resection of organ metastases does it have a relevant impact on survival of patients. In the remaining cases, others therapy such as chemotherapy, although not curative, may increase the time to disease progression and the overall survival.SDZ was the compound prescription medicine, which composed of ganoderma applanatum, ginseng, astragalus mongholicus and so on. Formerly studied indicated SDZ had the good anti-cancer functions [3] . But its mechanism is unclear. The apoptosis induced by SDZ was observed so that verifies the anti-cancer mechanism of SDZ. Methods Fluorescent stainingThe cells, which were logarithmic growth phase, was cultured with SDZ solution which final concentration was 1000 μg/mL for three days. The partes aequales physiological saline was added for controls. Positive control group with 5-FU. One group of culture cells were obtained everyday. The cells were dyed (the staining solution composed of Hoechst, PI and buffer) after the cells were washed with PBS. The apoptosis was observed under the fluorescence microscope. Transmission electron microscopeThe cells, which were cultured with SDZ for three days, were treated according to routine. The ultramicrostructure was observed with transmission electron microscope. Results Fluorescent stainingThe trachychromatic blue apoptosis cells were observed after the lovo cell was treated with SDZ for 24 h (Fig. 1). The rate of apoptosis was 30.2%. Apoptosis rate of positive control group with 5-FU was 33.1%. Meanwhile, the nuclear fragmentation and cell minification were observed. The rate of apoptosis was 1.1%. The apoptosis have significant difference between experiment and negative group (P < 0.05). The apoptosis have no significant difference between experiment and positive group (P > 0.05).Abstract Objective: To explore the inhibition effective of the SDZ on lovo cell growth of colon cancer in vitro. Methods: The apoptosis was observed by Hoechst fluorescein stain and transmission electron microscope. Results: The apoptosis was observed after the lovo cells treated by SDZ (1000 μg/mL) for 24 h. The rate of apoptosis was 30.2%. Conclusion: The apoptosis of lovo cells can be induced by SDZ in vitro.

Background: Gear is the key part of the transmission part of mechanical equipment, which has a high failure rate under complex working conditions or long-term operation, directly affecting the reliability of mechanical equipment. To realize online monitoring of gears and predict gear faults, whether the diagnosis of typical gear faults is accurate and timely is a key link, so it is necessary to study the diagnosis of typical gear faults. Objective: This paper aims to propose a method that can effectively diagnose typical faults of gears and is easy to program, which is beneficial to realize online monitoring of rotating machinery equipment faults. Method: A typical gear fault diagnosis method based on GHM multiwavelet transform and maximum correlation kurtosis deconvolution algorithm (MCKD) is proposed in this paper. The measured vibration signal is decomposed into components with multiple scale spaces and frequency bands through the GHM multiwavelet transform. Then, the MCKD algorithm is run to suppress the noise of GHM multiwavelet transform coefficients, and the periodic components containing fault information are retained and reconstructed. The typical faults such as gear pitting and broken teeth are tested. Results: GHM multiwavelet transform combined with MCKD algorithm can accurately locate the frequency band containing fault information from the vibration signal with multiple modulations, double sideband, and multi-frequency interference and effectively extract the fault frequency and its frequency multiplication. The root means a square error of the extracted fault frequency is 0.08. This method has a good noise suppression effect and high accuracy in extracting fault frequency. Conclusion: The method proposed in this paper is helpful in realizing automatic programming of gear fault diagnosis and is of great significance in realizing real-time monitoring and online diagnosis of rotating machinery equipment faults. More related patents will appear in the future.